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 Japanese) | (See Japanese page) |
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. |
Keyword(in Japanese) | (See Japanese page) |
Keyword(in English) | Pathological liver color / Color space / Segmentation image / ROI'S extraction |
Paper # | MBE99-48 |
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Committee | MBE |
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Conference Date | 1999/7/15(1days) |
Place (in Japanese) | (See Japanese page) |
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Paper Information | |
Registration To | ME and Bio Cybernetics (MBE) |
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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 |
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