Presentation | 2008-12-18 Segmentation of Brain MR Images Using Unsupervised Hybrid Learning Toshimitsu OTANI, Kazuhito SATO, Hirokazu MADOKORO, |
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Abstract(in Japanese) | (See Japanese page) |
Abstract(in English) | This paper presents a segmentation method using unsupervised hybrid learning of SOM (Self-Organizing Maps) and ART (Adaptive Resonance Theory) for brain MR (Magnetic Resonance) images only used in brightness characteristics and its distribution. This method consists of two steps. The first step is fine segmentation of brain tissues using SOM. The second step is to integrate categories using ART. We evaluated the method comparing with our former method only using SOM. The proposed method can extract according to the brain structures especially in CSF regions. Moreover we applied the method to clinical MR images. Objective classification results are obtained for diagnosis support for quantification of atrophy of the brain. |
Keyword(in Japanese) | (See Japanese page) |
Keyword(in English) | MR images / SOM / FuzzyART / Segmentation / Quantification of atrophy of the brain |
Paper # | PRMU2008-154 |
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Committee | PRMU |
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Conference Date | 2008/12/11(1days) |
Place (in Japanese) | (See Japanese page) |
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Paper Information | |
Registration To | Pattern Recognition and Media Understanding (PRMU) |
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Language | JPN |
Title (in Japanese) | (See Japanese page) |
Sub Title (in Japanese) | (See Japanese page) |
Title (in English) | Segmentation of Brain MR Images Using Unsupervised Hybrid Learning |
Sub Title (in English) | |
Keyword(1) | MR images |
Keyword(2) | SOM |
Keyword(3) | FuzzyART |
Keyword(4) | Segmentation |
Keyword(5) | Quantification of atrophy of the brain |
1st Author's Name | Toshimitsu OTANI |
1st Author's Affiliation | Faculty of Systems Science and Technology, Akita Prefectural University() |
2nd Author's Name | Kazuhito SATO |
2nd Author's Affiliation | Faculty of Systems Science and Technology, Akita Prefectural University |
3rd Author's Name | Hirokazu MADOKORO |
3rd Author's Affiliation | Faculty of Systems Science and Technology, Akita Prefectural University |
Date | 2008-12-18 |
Paper # | PRMU2008-154 |
Volume (vol) | vol.108 |
Number (no) | 363 |
Page | pp.pp.- |
#Pages | 6 |
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