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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) )
7 more
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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