A Novel Components Selection Method in Statistical Shape Model for Computer-aided Diagnosis : And it's Application for Assisting Cirrhosis Diagnosis (医用画像)
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概要
- 論文の詳細を見る
In the field of Computer-aided Diagnosis, organs' shape variability have been found to be important for understanding their inherent structures. It's also well known that Statistical Shape Model (SSM) can effectively capture the shape variation of given training set. Consequently, diseases that cause organ deformations have the possibility to be diagnosed with the aid of computer by SSM based organ shape analysis. However, it's difficult to decide which modes are selected as indicators to assist the diagnosis. Hence, applications of applying SSM for assisting diagnosis haven't widely concerned. In this study we propose a novel modes selection method and test it in case of assisting Cirrhosis diagnosis. Experimental results validate the effectiveness of our method and its potential for assisting the clinic diagnosis.
- 一般社団法人電子情報通信学会の論文
- 2012-05-10
著者
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Chen Yen-wei
Graduate School Of Engineering And Science Ritsumeikan University
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Furukawa Akira
Department Of Chemical Pharmacology Toho University School Of Pharmaceutical Sciences
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Luo Jie
Graduate School Of Information Science And Engineering Ritsumeikan University
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Kohara Shinya
Graduate School Of Information Science And Engineering Ritsumeikan University
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Tateyama Tomoko
Graduate School Of Information Science And Engineering Ritsumeikan University
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Han Xian-Hua
Graduate School of Science and Engineering, Ritsumeikan University
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Kanazaki Shuzo
Department of Radiology, Shiga University of Medical Science
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Tateyama Tomoko
Graduate School of Science and Engineering, Ritsumeikan University
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Kohara Shinya
Graduate School of Science and Engineering, Ritsumeikan University
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Furukawa Akira
Department of Radiological Sciences, Tokyo Metropolitan University
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