{"id":2396,"date":"2022-08-23T11:02:18","date_gmt":"2022-08-23T03:02:18","guid":{"rendered":"https:\/\/deptweb.cycu.edu.tw\/qic\/?page_id=2396"},"modified":"2024-11-26T15:38:59","modified_gmt":"2024-11-26T07:38:59","slug":"%e5%9f%b7%e8%a1%8c%e9%95%b7","status":"publish","type":"page","link":"https:\/\/deptweb.cycu.edu.tw\/qic\/%e5%9f%b7%e8%a1%8c%e9%95%b7\/","title":{"rendered":"\u57f7\u884c\u9577"},"content":{"rendered":"\t\t
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\u8457\u4f5c<\/strong><\/p><\/td>

  1. Yuan-Hsiang Chang, Hideo Yokota, Kuniya Abe, Ming-Dar Tasi, Slo-Li Chu , \u201cAutomatic three-dimensional segmentation of mouse embryonic stem cell nuclei by utilizing multiple channels of confocal fluorescence images\u201d ,\u00a02021\u00a0,\u00a0Journal of Microscopy\u00a0, vol.281 , p.57-75.\u00a0(SCI\u671f\u520a)<\/li>
  2. Yuan-Hsiang Chang, Kuniya Abe, Hideo Yokota, Kazuhiro Sudo, Yukio Nakamura and Ming-Dar Tsai , \u201cHuman Induced Pluripotent Stem Cell Region Detection in Bright-Field Microscopy Images Using Convolutional Neural Networks\u201d ,\u00a02019\u00a0,\u00a0Biomedical Engineering: Applications, Basis and Communications\u00a0, vol.31 , p.1950009-1950009.\u00a0(SCI\u671f\u520a)<\/li>
  3. Yuan-Hsiang Chang, Hideo Yokota, Kuniya Abe, Chia-Tong Tang, Ming-Dar Tasi , \u201cAutomated Detection and Tracking of Cell Clusters in Time-Lapse Fluorescence Microscopy Images\u201d ,\u00a02016\u00a0,\u00a0Journal of Medical and Biological Engineering\u00a0, p.1-10.\u00a0(SCI\u671f\u520a)<\/li>
  4. Yuan-Hsiang Chang, Hui-Lun Liao, Li-Der Jeng, Yung-Chung Chiu , \u201cAn interactive multimedia storybook demonstration system\u201d ,\u00a02014\u00a0,\u00a0Multimedia Tools and Applications\u00a0, p.1-20.\u00a0(SCI\u671f\u520a)<\/li>
  5. Li-Der Jeng, Ching-Hao Yang, Yuan-Hsiang Chang , \u201cIterative decoding methods for image communication under PBNJ\u201d ,\u00a02013\u00a0,\u00a0International Journal of Technology & Computer Science\u00a0, vol.9 , p.34-40.\u00a0(EI\u671f\u520a)<\/li>
  6. Li-Der Jeng, Yuan-Nung Liu, Yuan-Hsiang Chang , \u201cAn improved SPIHT format for Image transmission\u201d ,\u00a02013\u00a0,\u00a0International Journal of Technology & Computer Science\u00a0, vol.9 , p.11-18.\u00a0(EI\u671f\u520a)<\/li>
  7. \u9ec3\u57f9\u5fe0\u3001\u5f35\u5143\u7fd4\u3001\u8cf4\u6771\u8ce2 , \u201c\u904b\u7528\u4eba\u9ad4\u8f2a\u5ed3\u7279\u5fb5\u8207\u975c\u614b\u52d5\u4f5c\u5206\u985e\u70ba\u57fa\u790e\u7684\u884c\u70ba\u5206\u6790\u7cfb\u7d71\u201d ,\u00a02009\u00a0,\u00a0International Journal of Advanced Information Technologies (IJAIT)\u00a0, vol.3 , p.76-92.<\/li>
  8. Yuan-Hsiang Chang, Mu-Ping Xu, Jyh-Tong Teng, Te-Chuan Wang, Ray-Feng Chiang, Huey-Ling Hwu, Wang-Chyuan Chen , \u201cAn advanced boiling-water reactor monitoring system using modular accident analysis program and computer graphical user interface\u201d ,\u00a02008\u00a0,\u00a0Nuclear Technology\u00a0, vol.163 , p.435-443.\u00a0(SCI\u671f\u520a)<\/li>
  9. Yan-Yau Jiang, Yuan-Hsiang Chang, Chung-Hua Li, Jin-Jie Yang , \u201cA facial expression recognition system using facial feature extraction and artificial neural networks\u201d ,\u00a02008\u00a0,\u00a0Journal of Advanced Engineering\u00a0, vol.3 , p.153-159.<\/li>
  10. Hong-Ming Liu, Meng-Ta Tsai, Yuan-Hsiang Chang , \u201cEvaluation of interpolation methods used for image resizing techniques\u201d ,\u00a02005\u00a0,\u00a0Chung Hua Journal of Science and Engineering\u00a0, vol.3 , p.43-49.<\/li>
  11. Yuan-Hsiang Chang, Walter F. Good, Bin Zheng, Lara A. Hardesty, Christiane M. Hakim, David Gur , \u201cIntegrated density of a Lesion: A quantitative, mammographically-derived, invariable measure\u201d ,\u00a02003\u00a0,\u00a0Medical Physics\u00a0, vol.30 , p.1805-1811.\u00a0(SCI\u671f\u520a)<\/li>
  12. Xiao-Hui Wang, Walter F. Good, Brian E. Chapman, Yuan-Hsiang Chang, William R. Poller, Thomas S. Chang, Lara A. Hardesty , \u201cAutomated assessment of the composition of breast tissue revealed on tissue-thickness-corrected mammography\u201d ,\u00a02003\u00a0,\u00a0AJR Am J Roentgenol\u00a0, vol.180 , p.257-262.\u00a0(SCI\u671f\u520a)<\/li>
  13. Yuan-Hsiang Chang, Xiao-Hui Wang, Lara A. Hardesty, Thomas S. Chang, William R. Poller, Walter F. Good, David Gur , \u201cComputerized assessment of tissue composition on digitized mammograms\u201d ,\u00a02002\u00a0,\u00a0Academic Radiology\u00a0, vol.9 , p.899-905.\u00a0(SCI\u671f\u520a)<\/li>
  14. Bin Zheng, Yuan-Hsiang Chang, Walter F. Good, David Gur , \u201cPerformance gain in computer-assisted detection schemes by averaging scores generated from artificial neural networks with adaptive filtering\u201d ,\u00a02001\u00a0,\u00a0Medical Physics\u00a0, vol.28 , p.2302-2308.\u00a0(SCI\u671f\u520a)<\/li>
  15. Yuan-Hsiang Chang, Lara A. Hardesty, Christiane M. Hakim, Thomas S. Chang, Bin Zheng, Walter F. Good, David Gur , \u201cKnowledge-based computer-aided detection of masses on digitized mammograms: A preliminary assessmen\u201d ,\u00a02001\u00a0,\u00a0Medical Physics\u00a0, vol.28 , p.455-461.\u00a0(SCI\u671f\u520a)<\/li>
  16. Bin Zheng, Jules H. Sumkin, Walter F. Good, Glenn S. Maitz, Yuan-Hsiang Chang, David Gur , \u201cApplying computer-assisted detection schemes to digitized mammograms after JPEG data compression: an assessment\u201d ,\u00a02000\u00a0,\u00a0Academic Radiology\u00a0, vol.7 , p.595-602.\u00a0(SCI\u671f\u520a)<\/li>
  17. Yuan-Hsiang Chang, Walter F. Good, Jules H. Sumkin, Bin Zheng, David Gur , \u201cComputerized localization of breast lesions from two views. An experimental comparison of two methods\u201d ,\u00a01999\u00a0,\u00a0Investigative Radiology\u00a0, vol.34 , p.585-588.\u00a0(SCI\u671f\u520a)<\/li>
  18. Bin Zheng, Yuan-Hsiang Chang, Xiao-Hui Wang, Walter F. Good, David Gur , \u201cFeature selection for computerized mass detection in digitized mammograms by using a genetic algorithm\u201d ,\u00a01999\u00a0,\u00a0Academic Radiology\u00a0, vol.6 , p.327-332.\u00a0(SCI\u671f\u520a)<\/li>
  19. Xiao-Hui Wang, Bin Zheng, Walter F. Good, Jill L. King, Yuan-Hsiang Chang , \u201cComputer-assisted diagnosis of breast cancer using a data-driven Bayesian belief network\u201d ,\u00a01999\u00a0,\u00a0International Journal of Medical Informatics\u00a0, vol.54 , p.115-126.\u00a0(SCI\u671f\u520a)<\/li>
  20. Yuan-Hsiang Chang, Bin Zheng, Walter F. Good, David Gur , \u201cIdentification of clustered microcalcifications on digitized mammograms using morphology and topography-based computer-aided detection schemes\u201d ,\u00a01998\u00a0,\u00a0Investigative Radiology\u00a0, vol.33 , p.746-751.\u00a0(SCI\u671f\u520a)<\/li>
  21. Rymon R, Bin Zheng, Yuan-Hsiang Chang, David Gur , \u201cIncorporation of a set enumeration trees-based classifier into a hybrid computer-assisted diagnosis scheme for mass detection\u201d ,\u00a01998\u00a0,\u00a0Academic Radiology\u00a0, vol.5 , p.181-187.\u00a0(SCI\u671f\u520a)<\/li>
  22. Bin Zheng, Yuan-Hsiang Chang, Walter F. Good, David Gur , \u201cAdequacy testing of training set sample sizes in the development of a computer-assisted diagnosis scheme\u201d ,\u00a01997\u00a0,\u00a0Academic Radiology\u00a0, vol.4 , p.497-502.\u00a0(SCI\u671f\u520a)<\/li>
  23. Yuan-Hsiang Chang, Bin Zheng, David Gur , \u201cComputer-aided detection of clustered microcalcifications in digitized mammograms: A robustness experiment\u201d ,\u00a01997\u00a0,\u00a0Academic Radiology\u00a0, vol.4 , p.415-418.\u00a0(SCI\u671f\u520a)<\/li>
  24. Bin Zheng, Yuan-Hsiang Chang, David Gur , \u201cOn the reporting of mass contrast in CAD research\u201d ,\u00a01996\u00a0,\u00a0Medical Physics\u00a0, vol.23 , p.2007-2009.\u00a0(SCI\u671f\u520a)<\/li>
  25. Yuan-Hsiang Chang, Bin Zheng, David Gur , \u201cRobustness of computerized identification of masses in digitized mammograms: A preliminary assessment\u201d ,\u00a01996\u00a0,\u00a0Investigative Radiology\u00a0, vol.31 , p.563-568.\u00a0(SCI\u671f\u520a)<\/li>
  26. Bin Zheng, Yuan-Hsiang Chang, David Gur , \u201cAdaptive computer-aided diagnosis scheme of digitized mammograms\u201d ,\u00a01996\u00a0,\u00a0Academic Radiology\u00a0, vol.3 , p.806-814.\u00a0(SCI\u671f\u520a)<\/li>
  27. Yuan-Hsiang Chang, Bin Zheng, David Gur , \u201cRobustness of computerized identification of masses in digitized mammograms: A preliminary assessment\u201d ,\u00a01996\u00a0,\u00a0Investigative Radiology\u00a0, vol.31 , p.563-568.\u00a0(SCI\u671f\u520a)<\/li>
  28. Yuan-Hsiang Chang, Bin Zheng, David Gur , \u201cComputerized identification of suspicious regions for masses in digitized mammograms\u201d ,\u00a01996\u00a0,\u00a0Investigative Radiology\u00a0, vol.31 , p.146-153.\u00a0(SCI\u671f\u520a)<\/li>
  29. Bin Zheng, Yuan-Hsiang Chang, David Gur , \u201cComputerized detection of masses from digitized mammograms: Comparison of single-image segmentation and bilateral-image subtraction\u201d ,\u00a01995\u00a0,\u00a0Academic Radiology\u00a0, vol.2 , p.1056-1061.\u00a0(SCI\u671f\u520a)<\/li>
  30. Bin Zheng, Yuan-Hsiang Chang, David Gur , \u201cComputerized detection of masses in digitized mammograms using single-image segmentation and a multilayer topographic feature analysis\u201d ,\u00a01995\u00a0,\u00a0Academic Radiology\u00a0, vol.2 , p.959-966.\u00a0(SCI\u671f\u520a)<\/li>
  31. Bin Zheng, Yuan-Hsiang Chang, Stager M, Walter F. Good, David Gur , \u201cComputer-aided detection of clustered microcalcifications in digitized mammograms\u201d ,\u00a01995\u00a0,\u00a0Academic Radiology\u00a0, vol.2 , p.655-662.\u00a0(SCI\u671f\u520a)<\/li>
  32. Ji Chen, Bin Zheng, Yuan-Hsiang Chang, Chris C. Shaw, Jeffrey D. Towers, David Gur , \u201cFractal analysis of trabecular patterns in projection radiographs: An assessment\u201d ,\u00a01994\u00a0,\u00a0Investigative Radiology\u00a0, vol.29 , p.624-629.\u00a0(SCI\u671f\u520a)<\/li><\/ol>

    \u7814\u8a0e\u6703\u8ad6\u6587<\/p>

    1. Ming-Dar Tsai, Yuan-Hsiang Chang, Yi-Syuan Chen, Shih-Cheng Lee , \u201c\u4ee5\u8cc7\u6599\u7d50\u69cb\u8996\u89ba\u5316\u6642\u5e8f\u5217\u80da\u80ce\u5e79\u7d30\u80de\u5bb9\u7a4d\u4e4b\u7d30\u80de\u53ca\u805a\u843d\u52d5\u614b\u201d ,\u00a02020\u00a0,\u00a0Computer Graphics Workshop (CGW) 2020\u00a0, 2020 \/7 \/9 ~ 2020 \/7 \/10 , \u4e2d\u83ef\u6c11\u570b \u53f0\u7063 .<\/li>
    2. Ming-Dar Tsai, Yuan-Hsiang Chang, Chiao-Yun Ting, Chun-Yun Zheng , \u201c\u80da\u80ce\u5e79\u7d30\u80de\u5206\u5316\u87a2\u5149\u86cb\u767d\u6d3b\u6027\u53cd\u61c9\u4e4b\u5bb9\u7a4d\u8996\u89ba\u5316\u53ca\u91cf\u5316\u5206\u6790\u201d ,\u00a02020\u00a0,\u00a0Computer Graphics Workshop (CGW) 2020\u00a0, 2020 \/7 \/9 ~ 2020 \/7 \/10 , \u4e2d\u83ef\u6c11\u570b \u53f0\u7063 .<\/li>
    3. Yuan-Hsiang Chang; Kuniya Abe; Hideo Yokota; Kazuhiro Sudo; Yukio Nakamura; Slo-Li Chu; Chih-Yung Hsu; Ming-Dar Tsai , \u201cHuman Induced Pluripotent Stem Cell Reprogramming Prediction in Microscopy Images using LSTM based RNN\u201d ,\u00a02019\u00a0,\u00a0019 41st Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC)\u00a0, 2019 \/7 \/23 ~ 2019 \/7 \/27 , Federal Republic of Germany .<\/li>
    4. Ming-Dar Tsai, Yuan-Hsiang Chang, Shao Tang Hong, and Tsung-Ting Huang , \u201c\u4f7f\u7528\u4e09\u7dad\u5171\u8edb\u7126\u986f\u5fae\u93e1\u5f71\u50cf\u4e4b\u7d30\u80de\u6838\u5206\u5272\u65b9\u6cd5\u201d ,\u00a02019\u00a0,\u00a0Computer Graphics Workshop (CGW) 2019\u00a0, 2019 \/6 \/27 ~ 2019 \/6 \/28 , \u4e2d\u83ef\u6c11\u570b \u53f0\u7063 .<\/li>
    5. Yuan-Hsiang Chang\uff1bChi-Yu Chung , \u201cClassification of Breast Cancer Malignancy using Machine Learning Mechanisms in TensorFlow and Keras\u201d ,\u00a02019\u00a0,\u00a0The 3rd International Conference on Biomedical and Health Informatics (ICBHI)\u00a0, 2019 \/4 \/17 ~ 2019 \/4 \/20 , \u4e2d\u83ef\u6c11\u570b \u53f0\u7063 .<\/li>
    6. Yuan-Hsiang Chang; Chun-Chi Chen; Ming-Dar Tsai; Hideo Yokota; Kuniya Abe , \u201c3D Segmentation,Visualization and Quantitative Analysis of Differentiation Activity for Mouse Embryonic Stem Cells using Time-lapse Fluorescence Microscopy Images\u201d ,\u00a02017\u00a0,\u00a0IEEE 17th International Conference on Bioinformatics and Bioengineering (BIBE) 2017\u00a0, 2017 \/10 \/23 ~ 2017 \/10 \/25 , United States .<\/li>
    7. Yuan-Hsiang Chang\uff1bHao-Jhih Jian\uff1bLi-Der Jeng , \u201cResearch of Automatic Breast Cancer Atypia Cell Classification Using Deep Learning Architectures\u201d ,\u00a02017\u00a0,\u00a0The 30th IPPR Conference on Computer Vision, Graphics and Image Processing (CVGIP 2017)\u00a0, 2017 \/8 \/21 ~ 2017 \/8 \/23 , \u4e2d\u83ef\u6c11\u570b \u53f0\u7063 .<\/li>
    8. Yuan-Hsiang Chang; Shan-Ying Wen; Li-Der Jeng , \u201cAutomatic Image Detection System for Cracks and Potholes on Road using Convolutional Neural Networks\u201d ,\u00a02017\u00a0,\u00a0The 30th IPPR Conference on Computer Vision, Graphics and Image Processing (CVGIP 2017)\u00a0, 2017 \/8 \/21 ~ 2017 \/8 \/23 , \u4e2d\u83ef\u6c11\u570b \u53f0\u7063 .<\/li>
    9. Yuan-Hsiang Chang; Kuniya Abe; Hideo Yokota; Kazuhiro Sudo; Yukio Nakamura; Cheng-Yu Lin; Ming-Dar Tsai , \u201cHuman induced pluripotent stem cell region recognition in microscopy images using Convolutional Neural Networks\u201d ,\u00a02017\u00a0,\u00a039th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC) 2017\u00a0, 2017 \/7 \/11 ~ 2017 \/7 \/15 , Republic of Korea .<\/li>
    10. Yuan-Hsiang Chang;Tzu-Yang Chiu;Chun-Chi Chen;Li-Der Jeng , \u201cAn Interactive Learning Platform of Geographic Information using Automatic Motion Detection and Localization \u201d ,\u00a02016\u00a0,\u00a0The 2nd International Conference on Image Analysis and Computer Vision (CIACV2016)\u00a0, 2016 \/11 \/28 ~ 2016 \/11 \/30 , \u5927\u9678\u5730\u5340 .<\/li>
    11. Yuan-Hsiang Chang;Wei-Hsiang Juan;Jeng-Yu Lin;Li-Der Jeng , \u201cIntegrated Fire Detection and Alarm System Using Raspberry Pi\u201d ,\u00a02016\u00a0,\u00a0The 2nd International Conference on Image Analysis and Computer Vision (CIACV2016)\u00a0, 2016 \/11 \/28 ~ 2016 \/11 \/30 , \u5927\u9678\u5730\u5340 .<\/li>
    12. Yuan-Hsiang Chang;Hideo Yokota;Kuniya Abe;Chih-Cheng Li;Ming-Dar Tsai , \u201cFluorescence Microscopy Image Processing and Visualization for Analyzing Cell Kinematics, Proliferation and Attachment in Mouse Embryonic Stem Cell Culture \u201d ,\u00a02016\u00a0,\u00a0The 16th annual IEEE International Conference on Bioinformatics and Bioengineering (BIBE)\u00a0, 2016 \/10 \/31 ~ 2016 \/11 \/2 , \u4e2d\u83ef\u6c11\u570b \u53f0\u7063 .<\/li>
    13. Yuan-Hsiang Chang, Hideo Yokota, Kuniya Abe, Jung Hsien Liu, and Ming-Dar Tsai , \u201cDetection and Localization of Mouse Induced Pluripotent Stem Cell Formation using Time-Lapse Fluorescence Microscopy Images\u201d ,\u00a02016\u00a0,\u00a038th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC)\u00a0, 2016 \/8 \/16 ~ 2016 \/8 \/20 , United States .<\/li>
    14. Gwo-En Hwang;Yuan-Hsiang Chang;Li-Der Jeng , \u201cAutomatic inspection system for egg packs using image processing techniques\u201d ,\u00a02015\u00a0,\u00a0The 28th IPPR Conference on Computer Vision, Graphics and Image Processing (CVGIP 2015)\u00a0, 2015 \/8 \/17 ~ 2015 \/8 \/19 , \u4e2d\u83ef\u6c11\u570b \u53f0\u7063 .<\/li>
    15. Chen-Hua Wu;Yuan-Hsiang Chang;Chih-Wen Su , \u201cResearch on automatic recognition and localization of surgical equipment\u201d ,\u00a02015\u00a0,\u00a0The 28th IPPR Conference on Computer Vision, Graphics and Image Processing (CVGIP 2015)\u00a0, 2015 \/8 \/17 ~ 2015 \/8 \/19 , \u4e2d\u83ef\u6c11\u570b \u53f0\u7063 .<\/li>
    16. an-Hsiang Chang, Pin-Chi Lin, Li-Der Jeng , \u201cAutomatic Motion Trajectory Analysis for Dual Human Interaction Using Video Sequences\u201d ,\u00a02015\u00a0,\u00a0International Conference on Computer Vision Theory and Applications (ICCVTA 2015)\u00a0, 2015 \/5 \/28 ~ 2015 \/5 \/29 , Japan .<\/li>
    17. Yuan-Hsiang Chang, Zhong-Xian Peng, Li-Der Jeng , \u201cAutomatic Music Score Recognition System Using Digital Image Processing\u201d ,\u00a02015\u00a0,\u00a0International Conference on Computer Vision Theory and Applications (ICCVTA 2015)\u00a0, 2015 \/5 \/28 ~ 2015 \/5 \/29 , Japan .<\/li>
    18. \u65bd\u79cb\u5b89;\u5f35\u5143\u7fd4 , \u201c\u61c9\u7528\u5f71\u50cf\u8655\u7406\u8207\u5149\u5b78\u5b57\u5143\u8fa8\u8b58\u65bc\u81ea\u52d5\u5316\u751f\u7522\u7cfb\u7d71\u8a2d\u5099\u8cc7\u8a0a\u64f7\u53d6\u4e4b\u7814\u7a76\u201d ,\u00a02014\u00a0,\u00a02014 \u5de5\u7a0b\u8207\u96fb\u8cc7\u79d1\u6280\u61c9\u7528\u5b78\u8853\u7814\u8a0e\u6703\u00a0, 2014 \/12 \/8 ~ 2014 \/12 \/8 , \u4e2d\u83ef\u6c11\u570b \u53f0\u7063 .<\/li>
    19. Yuan-Hsiang Chang, Tung-Che Hsieh, Li-Der Jeng , \u201cVision-based fire detection using video sequences\u201d ,\u00a02014\u00a0,\u00a0The 27th IPPR Conference on Computer Vision, Graphics and Image Processing (CVGIP 2014)\u00a0, 2014 \/8 \/17 ~ 2014 \/8 \/19 , \u4e2d\u83ef\u6c11\u570b \u53f0\u7063 .<\/li>
    20. Yuan-Hsiang Chang, Chih-Chiang Yang, Chih-Wen Su , \u201cAutomatic license plate recognition system for patrolling vehicles\u201d ,\u00a02014\u00a0,\u00a0The 27th IPPR Conference on Computer Vision, Graphics and Image Processing (CVGIP 2014)\u00a0, 2014 \/8 \/17 ~ 2014 \/8 \/19 , \u4e2d\u83ef\u6c11\u570b \u53f0\u7063 .<\/li>
    21. Yuan-Hsiang Chang, Feng-Lu Liu, Yung-Chung Chiu , \u201cAutomatic food information demonstration and ordering system using video processing\u201d ,\u00a02014\u00a0,\u00a0The 27th IPPR Conference on Computer Vision, Graphics and Image Processing (CVGIP 2014)\u00a0, 2014 \/8 \/17 ~ 2014 \/8 \/19 , \u4e2d\u83ef\u6c11\u570b \u53f0\u7063 .<\/li>
    22. \u5f35\u660e\u8ed2\u3001\u912d\u7acb\u5fb7\u3001\u5f35\u5143\u7fd4 , \u201c\u81ea\u52d5\u5316\u7455\u75b5\u6aa2\u6e2c\u7cfb\u7d71\u61c9\u7528\u65bc\u5851\u81a0\u88fd\u54c1\u4e4b\u7814\u7a76\u201d ,\u00a02014\u00a0,\u00a02014 \u96fb\u5b50\u3001\u4fe1\u865f\u3001\u8207\u901a\u8a0a\u5275\u65b0\u79d1\u6280\u7814\u8a0e\u6703\u00a0, 2014 \/5 \/16 ~ 2014 \/5 \/16 , \u4e2d\u83ef\u6c11\u570b \u53f0\u7063 .<\/li>
    23. Li-Der Jeng, Yuan-Hsiang Chang, Shih-Wei Chen , \u201cA study of diversity combining methods for wireless image transmission system\u201d ,\u00a02014\u00a0,\u00a0The Fourth International Conference on Digital Information Processing and Communications (ICDIPC 2014)\u00a0, 2014 \/3 \/18 ~ 2014 \/3 \/20 , Malaysia .<\/li>
    24. Li-Der Jeng, Yuan-Hsiang Chang, Tsung-Hua Lee , \u201cImage transmission for low-density parity check coded system under PBNJ\u201d ,\u00a02014\u00a0,\u00a0Image transmission for low-density parity check coded system under PBNJ”, The Fourth International Conference on Digital Information Processing and Communications (ICDIPC 2014)\u00a0, 2014 \/3 \/18 ~ 2014 \/3 \/20 , Malaysia .<\/li>
    25. \u5f6d\u6021\u5be7\u3001\u5f35\u5143\u7fd4\u3001\u694a\u5fd7\u5f37 , \u201c\u8996\u8a0a\u4e2d\u96d9\u4eba\u4e92\u52d5\u5075\u6e2c\u8207\u8ffd\u8e64\u4e4b\u7814\u7a76\u201d ,\u00a02013\u00a0,\u00a02013 Conference on Technologies and Applications of Artificial Intelligence (TAAI 2013)\u00a0, 2013 \/12 \/6 ~ 2013 \/12 \/8 , \u4e2d\u83ef\u6c11\u570b \u53f0\u7063 .<\/li>
    26. \u5b6b\u742c\u5a77\u3001\u5f35\u5143\u7fd4\u3001\u6797\u54c1\u9f4a , \u201c\u57fa\u65bc\u904b\u52d5\u8996\u8a0a\u4e2d\u52d5\u614b\u80cc\u666f\u4e4b\u79fb\u52d5\u7269\u4ef6\u5075\u6e2c\u8207\u8ffd\u8e64\u7814\u7a76\u201d ,\u00a02013\u00a0,\u00a02013 Conference on Technologies and Applications of Artificial Intelligence (TAAI 2013)\u00a0, 2013 \/12 \/6 ~ 2013 \/12 \/8 , \u4e2d\u83ef\u6c11\u570b \u53f0\u7063 .<\/li>
    27. \u8521\u52c7\u5100\u3001\u5f35\u5143\u7fd4\u3001\u8607\u5fd7\u6587 , \u201c\u904b\u7528\u8272\u5f69\u5340\u57df\u5339\u914d\u53ca\u5206\u4f48\u5716\u91cd\u758a\u8655\u7406\u65bc\u5340\u57df\u70ba\u57fa\u790e\u4e4b\u8ffd\u8e64\u7814\u7a76\u201d ,\u00a02013\u00a0,\u00a02013 Conference on Technologies and Applications of Artificial Intelligence (TAAI 2013)\u00a0, 2013 \/12 \/6 ~ 2013 \/12 \/8 , \u4e2d\u83ef\u6c11\u570b \u53f0\u7063 .<\/li>
    28. \u6797\u5bb6\u7def\u3001\u5f35\u5143\u7fd4\u3001\u912d\u7acb\u5fb7 , \u201c\u61c9\u7528\u68d2\u7403\u904b\u52d5\u8996\u8a0a\u4e4b\u68d2\u7403\u8ecc\u8de1\u8ffd\u8e64\u7814\u7a76\u201d ,\u00a02013\u00a0,\u00a0Taiwan Academic Network Conference (TANET 2013)\u00a0, 2013 \/10 \/23 ~ 2013 \/10 \/24 , \u4e2d\u83ef\u6c11\u570b \u53f0\u7063 .<\/li>
    29. Yao-Ling Hung, Chih-Wen Su, Yuan-Hsiang Chang , \u201cSkyline Localization for Mountain Images\u201d ,\u00a02013\u00a0,\u00a0Proceedings – IEEE International Conference on Multimedia and Expo (ICME)\u00a0, 2013 \/7 \/15 ~ 2013 \/7 \/19 , United States .<\/li>
    30. \u8521\u653f\u82b3\u3001\u5f35\u5143\u7fd4 , \u201c\u57fa\u65bc\u8996\u8a0a\u52d5\u614b\u80cc\u666f\u4e4b\u904b\u52d5\u7269\u9ad4\u5075\u6e2c\u7814\u7a76\u201d ,\u00a02013\u00a0,\u00a0International Information Technology and Application Conference 2013\u00a0, 2013 \/6 \/6 ~ 2013 \/6 \/6 , \u4e2d\u83ef\u6c11\u570b \u53f0\u7063 .<\/li>
    31. \u9ec3\u5f64\u63da\u3001\u5f35\u5143\u7fd4 , \u201c\u57fa\u65bc\u8996\u8a0a\u7db2\u8def\u7cfb\u7d71\u4e4b\u591a\u901a\u9053\u8996\u8a0a\u50b3\u64ad\u540c\u6b65\u6a5f\u5236\u7814\u7a76\u201d ,\u00a02013\u00a0,\u00a0Information Technologies, Applications and Management Conference (ITAMC 2013)\u00a0, 2013 \/5 \/31 ~ 2013 \/5 \/31 , \u4e2d\u83ef\u6c11\u570b \u53f0\u7063 .<\/li>
    32. Zhi-Heng Li, Yuan-Hsiang Chang, Yi-Ning Peng , \u201cResearch on Facial Expression Recognition using Dynamic Facial Features in Video Sequences\u201d ,\u00a02012\u00a0,\u00a0The 2012 Conference on Technologies and Applications of Artificial Intelligence (TAAI 2012)\u00a0, 2012 \/11 \/16 ~ 2012 \/11 \/18 , \u4e2d\u83ef\u6c11\u570b \u53f0\u7063 .<\/li>
    33. Szu Ying Wu, Yuan-Hsiang Chang, Hui-Lun Liao , \u201cResearch on Customizable Facial Expression Recognition System with Learning Capability\u201d ,\u00a02012\u00a0,\u00a0The 2012 Conference on Technologies and Applications of Artificial Intelligence (TAAI 2012)\u00a0, 2012 \/11 \/16 ~ 2012 \/11 \/18 , \u4e2d\u83ef\u6c11\u570b \u53f0\u7063 .<\/li>
    34. Jie Ying Jiang, Yuan-Hsiang Chang, Jia-Wei Lin , \u201cA Study of Automobile Driver\u2019s Assisting System at Night-Time using Smart Phones\u201d ,\u00a02012\u00a0,\u00a0The 2012 Conference on Technologies and Applications of Artificial Intelligence (TAAI 2012)\u00a0, 2012 \/11 \/16 ~ 2012 \/11 \/18 , \u4e2d\u83ef\u6c11\u570b \u53f0\u7063 .<\/li>
    35. Yu-Chen Chen, Yuan-Hsiang Chang, Wan-Tin Sun , \u201cA Study of Automatic Human-Pose Recognition System using Active Depth Cameras\u201d ,\u00a02012\u00a0,\u00a0The 2012 Conference on Technologies and Applications of Artificial Intelligence (TAAI 2012)\u00a0, 2012 \/11 \/16 ~ 2012 \/11 \/18 , \u4e2d\u83ef\u6c11\u570b \u53f0\u7063 .<\/li>
    36. \u674e\u771f\u5fe0\u3001\u5f35\u5143\u7fd4\u3001\u674e\u6cbb\u8861 , \u201c\u904b\u7528\u7acb\u9ad4\u8996\u89ba\u4e4b\u6307\u5c16\u5075\u6e2c\u8207\u4e92\u52d5\u7cfb\u7d71\u201d ,\u00a02011\u00a0,\u00a02011 National Computer Symposium (NCS 2011)\u00a0, 2011 \/12 \/2 ~ 2011 \/12 \/3 , \u4e2d\u83ef\u6c11\u570b \u53f0\u7063 .<\/li>
    37. Yuan-Hsiang Chang, Hui-Chi Lu , \u201cVision-based Automobile Driver Assisting and Warning System Using Smart Phones\u201d ,\u00a02011\u00a0,\u00a0BIT’s 2nd Annual World Congress of Forensics 2011\u00a0, 2011 \/10 \/15 ~ 2011 \/10 \/18 , \u5927\u9678\u5730\u5340 .<\/li>
    38. Yuan-Hsiang Chang, Gong-Yun Jheng , \u201cCustomizable Facial Expression Recognition using Non-Negative Matrix Factorization\u201d ,\u00a02011\u00a0,\u00a02011 International Conference on Electrical and Control Engineering (ICECE)\u00a0, 2011 \/9 \/16 ~ 2011 \/9 \/18 , \u5927\u9678\u5730\u5340 .<\/li>
    39. Yuan-Hsiang Chang, Tai-Rong Huang , \u201cInteractive Boxing Motion Sensing Game System\u201d ,\u00a02011\u00a0,\u00a02011 International Conference on Electrical and Control Engineering (ICECE)\u00a0, 2011 \/9 \/16 ~ 2011 \/9 \/18 , \u5927\u9678\u5730\u5340 .<\/li>
    40. Yu-Chen Chen, Yuan-Hsiang Chang, Te-Chuan Wang , \u201cA Real-Time Computer Graphical User Interface for Advanced Boiling Water Reactor Case Comparison Using MAAP Software\u201d ,\u00a02010\u00a0,\u00a0International Computer Symposium (ICS 2010)\u00a0, 2010 \/12 \/16 ~ 2010 \/12 \/18 , \u4e2d\u83ef\u6c11\u570b \u53f0\u7063 .<\/li>
    41. Li-Wei Zheng, Yuan-Hsiang Chang, Zhen-Zhong Li , \u201cA Study of 3D Feature Tracking and Localization Using A Stereo Vision System\u201d ,\u00a02010\u00a0,\u00a0International Computer Symposium (ICS 2010)\u00a0, 2010 \/12 \/16 ~ 2010 \/12 \/18 , \u4e2d\u83ef\u6c11\u570b \u53f0\u7063 .<\/li>
    42. Janice Budihartono, Yuan-Hsiang Chang, Yu-Ting Wang , \u201cAutomatic Detection of Human Carrying Weapons in Video Sequences\u201d ,\u00a02010\u00a0,\u00a0The 23th IPPR Conference on Computer Vision, Graphics and Image Processing (CVGIP 2010)\u00a0, 2010 \/8 \/24 ~ 2010 \/8 \/26 , \u4e2d\u83ef\u6c11\u570b \u53f0\u7063 .<\/li>
    43. \u5289\u90a6\u6bc5\u3001\u5f35\u5143\u7fd4 , \u201c\u9069\u61c9\u6027\u6a21\u5f0f\u9078\u53d6\u65bc\u904b\u52d5\u4f30\u6e2c\u4e4bH.264 \u8996\u8a0a\u7de8\u78bc\u201d ,\u00a02010\u00a0,\u00a02010 Conference on Information and Technology and Industrial Application (ITIA 2010)\u00a0, 2010 \/6 \/4 ~ 2010 \/6 \/4 , \u4e2d\u83ef\u6c11\u570b \u53f0\u7063 .<\/li>
    44. \u9673\uff1f\u9298\u3001\u5f35\u5143\u7fd4 , \u201c\u61c9\u7528\u65bc\u884c\u52d5\u5f0f\u96a8\u610f\u7db2\u8def\u4e4b\u6297\u81ea\u79c1\u7bc0\u9ede\u7e5e\u5f91\u6a5f\u5236\u4e4b\u7814\u7a76\u201d ,\u00a02010\u00a0,\u00a02010 \u7db2\u8def\u8207RFID\u6280\u8853\u7814\u8a0e\u6703 Network & RFID Technology Conference\u00a0, 2010 \/6 \/4 ~ 2010 \/6 \/4 , \u4e2d\u83ef\u6c11\u570b \u53f0\u7063 .<\/li>
    45. Li-Der Jeng, Chien-Hung Su, Yuan-Hsiang Chang , \u201cImage Restoration for Reed-Solomon Coded SFH\/MFSK System with Partial-Band Noise Jamming\u201d ,\u00a02009\u00a0,\u00a02009 International Symposium on Intelligent Signal Processing and Communication Systems (ISPACS 2009)\u00a0, 2009 \/12 \/7 ~ 2009 \/12 \/9 , Japan .<\/li>
    46. Cong Qi Peng, Yuan-Hsiang Chang, Li-Jen Wang, Yang-Jen Chiang , \u201cTexture-learning-based system for three-dimensional segmentation of renal parenchyma in abdominal CT images\u201d ,\u00a02009\u00a0,\u00a0SPIE Medical Imaging\u00a0, 2009 \/2 \/7 ~ 2009 \/2 \/12 , United States .<\/li>
    47. Jin-Shing Lin, Yuan-Hsiang Chang, Yan-Yau Jiang, Chen-Ming Chang , \u201cAutomatic conversion of 2D video sequences using object tracking and depth-maps for 3D stereoscopic display\u201d ,\u00a02008\u00a0,\u00a0The 21th IPPR Conference on Computer Vision, Graphics and Image Processing (CVGIP 2008)\u00a0, 2008 \/8 \/24 ~ 2008 \/8 \/26 , \u4e2d\u83ef\u6c11\u570b \u53f0\u7063 .<\/li>
    48. \u9ec3\u5e25\u8c6a\u3001\u5f35\u5143\u7fd4\u3001\u9867\u627f\u5b87\u3001\u5f35\u5bb8\u9298 , \u201c\u904b\u7528\u5f71\u50cf\u8655\u7406\u65bc\u822a\u7167\u5f71\u50cf\u4e4b\u81ea\u52d5\u6cb3\u9053\u8b8a\u9077\u5206\u6790\u201d ,\u00a02008\u00a0,\u00a0The 6th Taipei International Digital Earth Symposium (TIDES 2008)\u00a0, 2008 \/5 \/15 ~ 2008 \/5 \/16 , \u4e2d\u83ef\u6c11\u570b \u53f0\u7063 .<\/li>
    49. Jia-Yuan Chen, Yuan-Hsiang Chang , \u201cA hand-pose recognition system using a combined classifier of shift distances and Fourier features\u201d ,\u00a02007\u00a0,\u00a0The 20th IPPR Conference on Computer Vision, Graphics and Image Processing (CVGIP 2007)\u00a0, 2007 \/8 \/19 ~ 2007 \/8 \/21 , \u4e2d\u83ef\u6c11\u570b \u53f0\u7063 .<\/li>
    50. Ya-Wen Chiang, Yo-Chen Wang, Yan-Yau Jiang, Yuan-Hsiang Chang , \u201cA bill-detection system based on color and texture analyses\u201d ,\u00a02006\u00a0,\u00a0The 19th IPPR Conference on Computer Vision, Graphics and Image Processing (CVGIP 2006)\u00a0, 2006 \/8 \/13 ~ 2006 \/8 \/15 , \u4e2d\u83ef\u6c11\u570b \u53f0\u7063 .<\/li>
    51. Yo-Chen Wang, Ming-Sheng Wei, Yan-Yau Jiang, Yuan-Hsiang Chang, Yi-Hua Fan , \u201cAutomatic measurement system using a laser scan instrument for ceramic bearings\u201d ,\u00a02006\u00a0,\u00a0The 8th International Conference on Laser and Fiber-Optical Networks Modeling (LFNM 2006)\u00a0, 2006 \/6 \/29 ~ 2006 \/7 \/1 , Ukraine .<\/li>
    52. \u6c5f\u598d\u7464\u3001\u5f35\u6587\u90b5\u3001\u5f35\u5143\u7fd4\u3001\u9867\u627f\u5b87 , \u201c\u5f71\u50cf\u8fa8\u8b58\u6280\u8853\u65bc\u96a7\u9053\u5730\u8cea\u5224\u91cb\u81ea\u52d5\u5316\u4e4b\u521d\u6b65\u7814\u7a76\u201d ,\u00a02006\u00a0,\u00a02006\u5ca9\u76e4\u5de5\u7a0b\u7814\u8a0e\u6703 (2006 Taiwan Rock Engineering Symposium)\u00a0, 2006 \/6 \/26 ~ 2006 \/6 \/27 , \u4e2d\u83ef\u6c11\u570b \u53f0\u7063 .<\/li>
    53. Yo-Chen Wang, Ya-Wen Chiang, Yan-Yau Jiang, Yuan-Hsiang Chang , \u201cDevelopment of bill-counterfeit prevention technology for multi-function peripherals\u201d ,\u00a02006\u00a0,\u00a0International MultiConference of Engineers and Computer Scientists 2006\u00a0, 2006 \/6 \/20 ~ 2006 \/6 \/22 , Hong Kong .<\/li>
    54. Meng-Ta Tsai, Ming-Sheng Wei, Yuan-Hsiang Chang , \u201cColor calibration of scanned images on observer preference\u201d ,\u00a02005\u00a0,\u00a0The 18th IPPR Conference on Computer Vision, Graphics and Image Processing (CVGIP 2005)\u00a0, 2005 \/8 \/21 ~ 2005 \/8 \/23 , \u4e2d\u83ef\u6c11\u570b \u53f0\u7063 .<\/li>
    55. Yuan-Hsiang Chang, Xiao-Hui Wang, Bin Zheng, Walter F. Good, David Gur , \u201cIncorporation of negative regions in a knowledge-based computer-aided detection scheme\u201d ,\u00a02002\u00a0,\u00a0SPIE Medical Imaging 2002\u00a0, 2002 \/2 \/23 ~ 2002 \/2 \/23 , United States .<\/li>
    56. Ken J. Leader, Xiao-Hui Wang, Yuan-Hsiang Chang, Brian E. Chapman , \u201cVisualization of 3D geometric models of the breast created from contrast enhanced MRI\u201d ,\u00a02002\u00a0,\u00a0SPIE Medical Imaging 2002\u00a0, 2002 \/2 \/23 ~ 2002 \/2 \/23 , United States .<\/li>
    57. Bin Zheng, Xiao-Hui Wang, Yuan-Hsiang Chang, Walter F. Good, David Gur , \u201cChange of region conspicuity in bilateral mammograms: potential impact on CAD performance\u201d ,\u00a02002\u00a0,\u00a0SPIE Medical Imaging 2002\u00a0, 2002 \/2 \/23 ~ 2002 \/2 \/23 , United States .<\/li>
    58. Xiao-Hui Wang, Bin Zheng, Yuan-Hsiang Chang, Walter F. Goo , \u201cCorrection of digitized mammograms to enhance soft display and tissue composition measurement\u201d ,\u00a02001\u00a0,\u00a0SPIE Medical Imaging 2001\u00a0, 2001 \/2 \/17 ~ 2001 \/2 \/17 , United States .<\/li>
    59. Walter F. Good, Glenn S. Maitz, John Drescher, Xiao-Hui Wang, Bin Zheng, Yuan-Hsiang Chang, He Wang , \u201cImage modification for display of temporal sequences of mammograms\u201d ,\u00a02000\u00a0,\u00a0SPIE Medical Imaging 2000\u00a0, 2000 \/2 \/12 ~ 2000 \/2 \/12 , United States .<\/li>
    60. Yuan-Hsiang Chang, Jill L. King, Xiao-Hui Wang, Bin Zheng, Walter F. Good , \u201cComputerized identification of masses on digitized mammograms using a knowledge-based approach: an assessment\u201d ,\u00a02000\u00a0,\u00a0The Fourth Asian Conference on Computer Vision (ACCV) 2000\u00a0, 2000 \/1 \/8 ~ 2000 \/1 \/11 , \u4e2d\u83ef\u6c11\u570b \u53f0\u7063 .<\/li>
    61. Bin Zheng, Yuan-Hsiang Chang, Xiao-Hui Wang, Walter F. Good , \u201cComparison of artificial neural network and Bayesian belief network in a computer-assisted diagnosis scheme for mammography\u201d ,\u00a01999\u00a0,\u00a0International Joint Conference on Neural Networks\u00a0, 1999 \/7 \/10 ~ 1999 \/7 \/16 , United States .<\/li>
    62. Yuan-Hsiang Chang, Bin Zheng, Xiao-Hui Wang, Walter F. Good , \u201cComputer-aided diagnosis of breast cancer using artificial neural networks: Comparison of backpropagation and genetic algorithms\u201d ,\u00a01999\u00a0,\u00a0International Joint Conference on Neural Networks\u00a0, 1999 \/7 \/10 ~ 1999 \/7 \/16 , United States .<\/li>
    63. Walter F. Good, Bin Zheng, Yuan-Hsiang Chang, Xiao-Hui Wang , \u201cPreliminary investigations of multi-view CAD of mammography employing features derived from ipsilateral image pairs\u201d ,\u00a01999\u00a0,\u00a013th International Conference on Computer Assisted Radiology and Surgery\u00a0, 1999 \/6 \/23 ~ 1999 \/6 \/26 , France .<\/li>
    64. Bin Zheng, Yuan-Hsiang Chang, Xiao-Hui Wang, Walter F. Good, David Gur , \u201cApplication of a Bayesian-belief network in a computer-assisted diagnosis scheme for mass detection\u201d ,\u00a01999\u00a0,\u00a0SPIE Medical Imaging 1999\u00a0, 1999 \/2 \/20 ~ 1999 \/2 \/20 , United States .<\/li>
    65. Walter F. Good, Bin Zheng, Yuan-Hsiang Chang, Xiao-Hui Wang, Glenn S. Maitz, David Gur , \u201cMulti-image CAD employing features derived from ipsilateral mammographic views\u201d ,\u00a01999\u00a0,\u00a0SPIE Medical Imaging 1999\u00a0, 1999 \/2 \/20 ~ 1999 \/2 \/20 , United States .<\/li>
    66. Walter F. Good, Bin Zheng, Yuan-Hsiang Chang, Xiao-Hui Wang, Glenn S. Maitz , \u201cGeneralized procrustean image deformation for subtraction of mammograms\u201d ,\u00a01999\u00a0,\u00a0SPIE Medical Imaging 1999\u00a0, 1999 \/2 \/20 ~ 1999 \/2 \/20 , United States .<\/li>
    67. Xiao-Hui Wang, Bin Zheng, Yuan-Hsiang Chang, Walter F. Good , \u201cOptimizing the feature set for a Bayesian network for breast cancer diagnosis, by using genetic algorithm techniques\u201d ,\u00a01999\u00a0,\u00a0SPIE Medical Imaging 1999\u00a0, 1999 \/2 \/20 ~ 1999 \/2 \/20 , United States .<\/li>
    68. Bin Zheng, Walter F. Good, Yuan-Hsiang Chang, Xiao-Hui Wang , \u201cApplying a genetic algorithm for the improvement of decision making in medical image diagnosis\u201d ,\u00a01999\u00a0,\u00a0Int Conf Artificial Intelligence and Soft Computing\u00a0, 1999 \/1 \/15 ~ 1999 \/1 \/15 , United States .<\/li>
    69. Bin Zheng, Yuan-Hsiang Chang, Walter F. Good, David Gur , \u201cAssessment of mass detection using tissue background information as input to a computer-assisted diagnosis scheme\u201d ,\u00a01998\u00a0,\u00a0SPIE Medical Imaging 1998\u00a0, 1998 \/2 \/21 ~ 1998 \/2 \/21 , United States .<\/li>
    70. John M. Herron, Yuan-Hsiang Chang , \u201cComputer-controlled light box with uniform luminance at selectable levels for observer performance studies\u201d ,\u00a01995\u00a0,\u00a0SPIE Medical Imaging 1995\u00a0, 1995 \/2 \/26 ~ 1995 \/2 \/26 , United States .<\/li>
    71. Yuan-Hsiang Chang, M. Gokmen, C. C. Li , \u201cAn experimental study of IRR edge detection algorithm on noisy images\u201d ,\u00a01993\u00a0,\u00a0Modeling and Simulation\u00a0, 1993 \/12 \/1 ~ 1993 \/12 \/1 , United States .<\/li><\/ol>

      \u5c08\u66f8<\/p>

      1. \u5f35\u5143\u7fd4 ,\u00a0\u81ea\u8457\u8005\u00a0, \u201c\u904b\u7b97\u601d\u7dad\u8207\u7a0b\u5f0f\u8a2d\u8a08 – Python\u7a0b\u5f0f\u5be6\u4f5c\u201d , \u5168\u83ef\u5716\u66f8 ,\u00a02021\u00a0, 978-986-503-743-7 .<\/li>
      2. \u5f35\u5143\u7fd4 ,\u00a0\u81ea\u8457\u8005\u00a0, \u201c\u91cf\u5b50\u96fb\u8166\u8207\u91cf\u5b50\u8a08\u7b97\uff0dIBM Q Experience\u5be6\u4f5c\u201d , \u7881\u5cf0\u8cc7\u8a0a ,\u00a02020\u00a0, 978-986-502-519-9 .<\/li>
      3. \u5f35\u5143\u7fd4 ,\u00a0\u81ea\u8457\u8005\u00a0, \u201c\u6578\u4f4d\u5f71\u50cf\u8655\u7406\uff0dPython\u7a0b\u5f0f\u5be6\u4f5c\u201d , \u5168\u83ef\u5716\u66f8 ,\u00a02019\u00a0, 978-986-503-308-8 .<\/li>
      4. \u5f35\u5143\u7fd4 ,\u00a0\u81ea\u8457\u8005\u00a0, \u201c\u6578\u4f4d\u8a0a\u865f\u8655\u7406\uff0dPython\u7a0b\u5f0f\u5be6\u4f5c\u201d , \u5168\u83ef\u5716\u66f8 ,\u00a02019\u00a0, 978-986-503-257-9 .<\/li>
      5. \u5f35\u5143\u7fd4 ,\u00a0\u81ea\u8457\u8005\u00a0, \u201cRaspberry Pi\u5d4c\u5165\u5f0f\u7cfb\u7d71\u5165\u9580\u8207\u61c9\u7528\u5be6\u4f5c \u201d , \u7881\u5cf0\u8cc7\u8a0a ,\u00a02016\u00a0, 978-986-476-100-5 .<\/li>
      6. \u5f35\u5143\u7fd4 ,\u00a0\u81ea\u8457\u8005\u00a0, \u201c\u5de5\u7a0b\u6578\u5b78\u5165\u9580\uff0d\u5c08\u70ba\u79d1\u5b78\u5bb6\u8207\u5de5\u7a0b\u5e2b\u8a2d\u8a08\u4e4b\u6559\u6750\u201d , \u5168\u83ef\u5716\u66f8 ,\u00a02015\u00a0, 978-957-21-9912-1 .<\/li><\/ol>

        \u90e8\u5206\u5c08\u66f8<\/p>

        1. \u5f35\u5143\u7fd4 , \u7de8\u8457\u8005 , \u201c\u6a5f\u5668\u5b78\u7fd2\u56f0\u96e3\u55ce?\u201d ,\u00a0\u4eba\u5de5\u667a\u6167\u5c0e\u8ad6 – \u7406\u8ad6\u3001\u5be6\u52d9\u53ca\u7d20\u990a\u00a0, \u4e94\u5357\u51fa\u7248\u793e ,\u00a02020\u00a0, 978-957-763-820-5 .<\/li>
        2. \u5f35\u5143\u7fd4 , \u7de8\u8457\u8005 , \u201c\u667a\u6167\u578b\u5075\u6e2c\u8207\u8fa8\u8b58\u201d ,\u00a0\u667a\u6167\u578b\u88fd\u9020\u7cfb\u7d71\u00a0, \u4e94\u5357\u51fa\u7248\u793e ,\u00a02014\u00a0.<\/li>
        3. Yuan-Hsiang Chang, Chen-Ming Chang , \u7de8\u8457\u8005 , \u201cAutomatic Hand-Pose Trajectory Tracking System Using Video Sequences\u201d ,\u00a0User Interfaces\u00a0, InTech ,\u00a02010\u00a0, 978-953-307-084-1 .<\/li>
        4. Dong-Xian Lai, Yuan-Hsiang Chang, Zhi-He Zhang , \u7de8\u8457\u8005 , \u201cActive contour tracking of moving objects using edge flows and ant colony optimization in video sequences\u201d ,\u00a0Advances in Image and Video Technology, Lecture Notes in Computer Science\u00a0, Springer ,\u00a02009\u00a0, 978-3-540-92957-4 .<\/li><\/ol>

          \u5b78\u8853\u53ca\u7af6\u8cfd\u734e\u9805<\/p>

          1. \u201c2006\u5ca9\u76e4\u5de5\u7a0b\u7814\u8a0e\u6703\u512a\u826f\u8ad6\u6587\u734e\u201d ,\u00a02006\u00a0.<\/li><\/ol>

            \u5c08\u5229<\/p>

            1. Hideo Yokota; Kuniya Abe; Ming-Dar Tsai; Slo-Li Chu, Yuan-Hsiang Chang , \u201cMethod and Apparatus for Predicting Cell Reprogramming\u201d , \u767c\u660e ,\u00a02020\u00a0, \u7f8e\u570b , 20200126234 (2020.4) .<\/li>
            2. Yuan-Hsiang Chang; Hideo Yokota; Kuniya Abe; Ming-Dar Tsai , \u201cMethod and Apparatus for Image Processing and Visualization for Analyzing Cell Kinematics in Cell Culture\u201d , \u767c\u660e ,\u00a02019\u00a0, \u7f8e\u570b , 20190130161 (2019.5) .<\/li>
            3. Yuan-Hsiang Chang; Hideo Yokota; Kuniya Abe; Ming-Dar Tsai , \u201cMethod and Apparatus for Detecting Cell Reprogramming\u201d , \u767c\u660e ,\u00a02018\u00a0, \u7f8e\u570b , 20180232879 (2018.8) .<\/li>
            4. Yuan-Hsiang Chang;Ya-Wen Chiang;Yo-Chen Wang , \u201cMethod and system for banknote recognition\u201d , \u767c\u660e ,\u00a02007\u00a0, \u7f8e\u570b , US20070253615A1 (2007.11) .<\/li>
            5. \u5f35\u5143\u7fd4;\u8303\u61b6\u83ef;\u9b4f\u660e\u751f;\u738b\u6ec4\u6bc5 , \u201c\u5713\u67f1\u5ea6\u91cf\u6e2c\u7cfb\u7d71,\u65b9\u6cd5\u53ca\u63a7\u5236\u8edf\u9ad4\u7a0b\u5f0f\u4e4b\u7d00\u9304\u5a92\u9ad4\u201d ,\u00a02005\u00a0, \u4e2d\u83ef\u6c11\u570b \u53f0\u7063 , 0 (2005.9) .<\/li>
            6. Good WF, Gur D, Glenn MS, Chang YH, Zheng B, Wang XH. , \u201cMulti-View Computer-Assisted Diagnosis\u201d ,\u00a02003\u00a0, \u7f8e\u570b , 6,553,356 (2003.4) .<\/li>
            7. Gur D, Zheng B, Chang YH. , \u201cMethod and System to Enhance Robust Identification of Abnormal Regions in Radiographs\u201d ,\u00a02000\u00a0, \u7f8e\u570b , 6.067.372 (2000.5) .<\/li>
            8. Gur D, Zheng B, Chang YH. , \u201cMethod and System to Enhance Robust Identification of Abnormal Regions in Radiographs \u201d ,\u00a01998\u00a0, \u7f8e\u570b , 5.838.815 (1998.11) .<\/li>
            9. Gur D, Zheng B, Chang YH. , \u201cComputerized Detection of Masses and Microcalcifications in Digital Mammograms\u201d ,\u00a01997\u00a0, \u7f8e\u570b , 5.627.907 (1997.5) .<\/li>
            10. Chang YH, Gur D, Zheng B. , \u201cIdentification of Suspicious Mass Regions in Mammograms\u201d ,\u00a01997\u00a0, \u7f8e\u570b , 5.615.243 (1997.3) .<\/li><\/ol><\/td><\/tr><\/tbody><\/table>

              \u8fa6\u516c\u5ba4<\/p><\/td>

              \u96fb\u5b78805\uff0c\u96fb\u8a71\uff1a03-2654713<\/p><\/td><\/tr>

              \u7814\u7a76\u5ba4<\/p><\/td>

              \u8a08\u7b97\u6a5f\u8996\u89ba\u5be6\u9a57\u5ba4 \u96fb\u5b78603\uff0c\u96fb\u8a71\uff1a03-2654726<\/p><\/td><\/tr>

              Email<\/p><\/td>

              changyh@ice.cycu.edu.tw<\/p><\/td><\/tr><\/tbody><\/table>\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/section>\n\t\t\t\t<\/div>\n\t\t","protected":false},"excerpt":{"rendered":"

              \u91cf\u5b50\u4e2d\u5fc3\u57f7\u884c\u9577 \u00a0 \u5f35\u5143\u7fd4\u535a\u58eb \u4e2d\u539f\u5927\u5b78\u8cc7\u8a0a\u5de5\u7a0b\u5b78\u7cfb\u6559\u6388 \u5b78\u6b77 \u7f8e\u570b \u5339\u8332\u5821\u5927\u5b78 \u96fb\u6a5f\u5de5\u7a0b \u535a\u58eb \u7d93\u6b77 \u4e2d\u539f\u5927 […]<\/p>\n","protected":false},"author":6,"featured_media":0,"parent":0,"menu_order":0,"comment_status":"closed","ping_status":"closed","template":"","meta":{"footnotes":""},"class_list":["post-2396","page","type-page","status-publish","hentry","entry"],"yoast_head":"\n\u57f7\u884c\u9577 - \u4e2d\u539f\u5927\u5b78\u91cf\u5b50\u8cc7\u8a0a\u4e2d\u5fc3<\/title>\n<meta name=\"robots\" content=\"index, follow, max-snippet:-1, max-image-preview:large, max-video-preview:-1\" \/>\n<link rel=\"canonical\" href=\"https:\/\/deptweb.cycu.edu.tw\/qic\/\u57f7\u884c\u9577\/\" \/>\n<meta property=\"og:locale\" content=\"zh_TW\" \/>\n<meta property=\"og:type\" content=\"article\" \/>\n<meta property=\"og:title\" content=\"\u57f7\u884c\u9577 - 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