A probabilistic approach to segmentation and classification of neoplasia in uterine cervix images using color and geometric features
- Author(s):
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) ) - Publication title:
- Medical Imaging 2005: Image Processing
- Title of ser.:
- Proceedings of SPIE - the International Society for Optical Engineering
- Ser. no.:
- 5747
- Pub. Year:
- 2005
- Page(from):
- 995
- Page(to):
- 1003
- Pages:
- 9
- Pub. info.:
- Bellingham, Wash.: SPIE - The International Society of Optical Engineering
- ISSN:
- 16057422
- ISBN:
- 9780819457219 [0819457213]
- Language:
- English
- Call no.:
- P63600/5747-2
- Type:
- Conference Proceedings
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