Trials of Independent Component Analysis on Multi-phase Abdominal CT Images (関連学会との共催によるバイオメディカルイメージング連合フォーラム) -- (領域抽出及び関連技術)
スポンサーリンク
概要
- 論文の詳細を見る
This paper presents a new result of independent component analysis (ICA) of multi-phase abdominal CT images. Using the variational Bayesian mixture of ICA, the four-phase CT data are modeled as being produced by a mixture of data generators, where each data generator consists of a set of independent components and is responsible for generating a particular cluster. ICA analysis results show that the CT images could be divided into a set of meaningful components. Initial segmentation test and contrast analysis on the independent component reflect the promising prospect of ICA as preprocessing to increase the performance of organ segmentation, cancer detection and other medical imaging applications.
- 社団法人電子情報通信学会の論文
- 2004-01-16
著者
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Hu Xue
Graduate School Of Bio-applications And Systems Engineering Tokyo University Of Agriculture & Te
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Kobatake H
Tokyo Univ. Agriculture & Technol. Tokyo Jpn
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胡 学斌
東京農工大・BASE
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Hu X
Graduate School Of Bio-applications And Systems Engineering Tokyo University Of Agriculture & Te
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SHIMIZU Akinobu
Graduate School of Bio-Applications and Systems Engineering, Tokyo University of Agriculture and Tec
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KOBATAKE Hidefumi
Graduate School of Bio-Applications and Systems Engineering, Tokyo University of Agriculture and Tec
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NAWANO Shigeru
National Cancer Center Hospital East
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Hu Xuebin
Tokyo University Of Agriculture And Technology
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Hu Xuebin
Graduate School Of Bio-applications And Systems Engineering Tokyo University Of Agriculture And Tech
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Shimizu A
Tokyo University Of Agriculture And Technology
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Shimizu Akinobu
Graduate School Of Base Tokyo University Of Agri. & Tech.
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Kobatake Hidefumi
Graduate School Of Bio-applications And Systems Engineering Tokyo Univ. Of Agriculture & Technol
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- Trials of Independent Component Analysis on Multi-phase Abdominal CT Images (関連学会との共催によるバイオメディカルイメージング連合フォーラム) -- (領域抽出及び関連技術)
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