ICA Mixture Analysis of Four-Phase Abdominal CT Images(Biological Engineering)
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概要
- 論文の詳細を見る
This paper presents a new analysis result of two-dimensional four-phase abdominal CT images using variational Bayesian mixture of ICA. The four-phase CT images are assumed to be comprised of several exclusive areas, and each area is generated by a set of corresponding independent components. ICA mixture analysis results show that the CT images could be divided into a set of clinically and anatomically meaningful components. Initial analysis of the independent components shows its promising prospects in medical image processing and computer-aided diagnosis.
- 社団法人電子情報通信学会の論文
- 2004-11-01
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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HU Xuebin
Graduate School of Bio-Applications and Systems Engineering, Tokyo University of Agriculture and Tec
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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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