A probabilistic approach to segmentation and classification of neoplasia in uterine cervix images using color and geometric features
- 著者名:
Srinivasan, Y. ( Texas Tech Univ. (USA) ) Hernes, D. ( Texas Tech Univ. (USA) ) Tulpule, B. ( Texas Tech Univ. (USA) ) Yang, S. ( Texas Tech Univ. (USA) ) Guo, J. ( Texas Tech Univ. (USA) ) Mitra, S. ( Texas Tech Univ. (USA) ) Yagneswaran, S. ( Texas Tech Univ. (USA) ) Nutter, B. ( Texas Tech Univ. (USA) ) Jeronimo, J. ( National Cancer Institute (USA) ) Phillips, B. ( Lubbock Gynecologic Oncology Associates (USA) ) Long, R. ( National Library of Medicine (USA) ) Ferris, D. ( Medical College of Georgia (USA) ) - 掲載資料名:
- Medical Imaging 2005: Image Processing
- シリーズ名:
- Proceedings of SPIE - the International Society for Optical Engineering
- シリーズ巻号:
- 5747
- 発行年:
- 2005
- 開始ページ:
- 995
- 終了ページ:
- 1003
- 総ページ数:
- 9
- 出版情報:
- Bellingham, Wash.: SPIE - The International Society of Optical Engineering
- ISSN:
- 16057422
- ISBN:
- 9780819457219 [0819457213]
- 言語:
- 英語
- 請求記号:
- P63600/5747-2
- 資料種別:
- 国際会議録
類似資料:
SPIE - The International Society of Optical Engineering |
7
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Statistical and adaptive approaches for segmentation and vector source encoding of medical images
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SPIE - The International Society of Optical Engineering |
SPIE-The International Society for Optical Engineering |
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SPIE-The International Society for Optical Engineering |