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J-GLOBAL ID：201702275919321281   Reference number：17A0142823

Learning to diagnose cirrhosis via combined liver capsule and parenchyma ultrasound image features

肝臓カプセルおよび柔組織超音波画像特徴による肝硬変を診断するための学習【Powered by NICT】

Author (6)： Shuo Hong Wang (School of Computer Science, Shanghai Key Laboratory of Intelligent Information Processing, Fudan University, China) ,  Xiang Liu (School of Computer Science, Shanghai Key Laboratory of Intelligent Information Processing, Fudan University, China) ,  Jingwen Zhao (School of Computer Science, Shanghai Key Laboratory of Intelligent Information Processing, Fudan University, China) ,  Jia Lin Song (Department of ultrasound, Changzheng Hospital Affiliated to Second Military Medical University, Shanghai, China) ,  Jian Quan Zhang (Department of ultrasound, Changzheng Hospital Affiliated to Second Military Medical University, Shanghai, China) ,  Yan Qiu Chen (School of Computer Science, Shanghai Key Laboratory of Intelligent Information Processing, Fudan University, China)
Material： IEEE Conference Proceedings  (IEEE Conf Proc)
Volume： 2016  Issue： BIBM  Page： 799-804  Publication year： 2016 
JST Material Number： W2441A  Document type： Proceedings
Article type： 原著論文  Country of issue： United States (USA)  Language： ENGLISH (EN)

Abstract/Point： This paper proposes a novel ci...

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Thesaurus term： continuity ,  *ultrasonic image ,  *Liver Cirrhosis ,  *capsule ,  modeling ,  Pathology ,  smoothness ,  *parenchyma ,  detection algorithm ,  scale space
Semi thesaurus term： テクスチャ特徴 ,  SVM分類 ,  病巣 ,  Gauss混合モデル ,  マルチスケール , 【Automatic Indexing@JST】

JST classification (1)： Pattern recognition  (JE07000S)

Terms in the title (8)： 肝臓 ,  カプセル ,  柔組織 ,  超音波 ,  画像特徴 ,  肝硬変 ,  診断 ,  学習