Presentation 1999/7/15
Segmentation and Analysis of Liver Cancer Pathological Color Images based on Artificial Neural Networks
Mohamed Sammouda, Rachid Sammouda, Noboru Niki, Kiyoshi Mukai,
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Abstract(in English) Liver cancer is one of those sneakily conditions that can disappoint a physician before the diagnosis is finally made. Thus far, the only definitive test for liver cancer is needle biopsy. In this paper, we present an unsupervised approach using Hopfield neural network for the segmentation of color images of liver tissues prepared and stained by standard staining method. We formulate the segmentation problem as a minimization of an energy function synonymous to that of Hopfield neural network for the optimization. Then we extract the nuclei and their corresponding cytoplasm regions which are used as a base for formulating the diagnostic rules of a computer aided diagnosis system for liver cancer.
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Keyword(in English) Pathological liver color / Color space / Segmentation image / ROI'S extraction
Paper # MBE99-48
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Conference Information
Committee MBE
Conference Date 1999/7/15(1days)
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Registration To ME and Bio Cybernetics (MBE)
Language ENG
Title (in Japanese) (See Japanese page)
Sub Title (in Japanese) (See Japanese page)
Title (in English) Segmentation and Analysis of Liver Cancer Pathological Color Images based on Artificial Neural Networks
Sub Title (in English)
Keyword(1) Pathological liver color
Keyword(2) Color space
Keyword(3) Segmentation image
Keyword(4) ROI'S extraction
1st Author's Name Mohamed Sammouda
1st Author's Affiliation Dept. of Optical Science and Technology, Univ. of Tokushima()
2nd Author's Name Rachid Sammouda
2nd Author's Affiliation Dept. of Optical Science and Technology, Univ. of Tokushima
3rd Author's Name Noboru Niki
3rd Author's Affiliation Dept. of Optical Science and Technology, Univ. of Tokushima
4th Author's Name Kiyoshi Mukai
4th Author's Affiliation Dept. of Pathology, Tokyo Medical Univ.
Date 1999/7/15
Paper # MBE99-48
Volume (vol) vol.99
Number (no) 177
Page pp.pp.-
#Pages 7
Date of Issue