K-means clustering and classification of medical images based on regions-of-interest
スポンサーリンク
概要
- 論文の詳細を見る
Cirrhosis of the liver is characterized by the presence of widespread nodules and fibrosis in the liver, resulting in characteristic texture patterns. Computerized analysis of hepatic texture patterns is usually based on regions-of-interest (ROIs). However, not all ROIs are typical representatives of the disease stage of the liver from which the ROIs originated. The uncertainties in the labels of ROI feature vectors present a problem in supervised classifiers which represent the majority of the commonly used classifiers. This paper investigates the use of an unsupervised classifier, the k-means clustering, in classifying ROI based data.
- 社団法人電子情報通信学会の論文
- 2008-01-18
著者
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Fujita Hiroshi
Department of Transfusion Medicine, Tokyo Metropolitan Bokutoh Hospital
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Kondo Hiroshi
Dept. Of Radiology Graduate School Of Medicine Gifu University
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Zhou Xiangrong
Department of Intelligent Image Information, Division of Regeneration and Advanced Medical Science,
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KATO HIROKI
Department of Tumor and General Surgery, Gifu University School of Medicine
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Hara Takeshi
Department Of Intelligent Image Information Division Of Regeneration And Advanced Medical Sciences G
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Hara Takeshi
Graduate School Of Medicine Gifu University
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Fujita Hiroshi
Department Of Cardiology Kyoto Second Red Cross Hospital
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Fujita Hiroshi
Department Of Intelligent Image Information Division Of Regeneration And Advanced Medical Sciences G
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KONDO Hiroshi
Department of Civil Engineering, School of Engineering
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Kato Hiroki
Department Of Tumor And General Surgery Division Of Cellular And Molecular Biology Gifu University S
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KANEMATSU Masayuki
Department of Radiology, Gifu University School of Medicine
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HOSHI Hiroaki
Department of Radiology, Gifu University School of Medicine
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LEE Gobert
Department of Intelligent Image Information, Graduate School of Medicine, Gifu University
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Hoshi Hiroaki
Gifu Univ. Graduate School Of Medicine Gifu Jpn
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Fujita H
Department Of Intelligent Image Information Division Of Regeneration And Advanced Medical Sciences G
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Fujita Hiroshi
Dept. Of Intelligent Image Information Graduate School Of Medicine Gifu University
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Zhang X
Department Of Intelligent Image Information Division Of Regeneration And Advanced Medical Science Gr
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Hara T
Department Of Intelligent Image Information Division Of Regeneration And Advanced Medical Sciences G
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Hoshi Hiroaki
Dept. Of Radiology Graduate School Of Medicine Gifu University
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Hoshi H
Department Of Radiology Miyazaki Medical College
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Hoshi Hiroaki
Department Of Radiology Gifu University
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KONDO Hiroshi
Faculty of Human Arts and Sciences, University of Human Arts and Sciences
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Zhou Xiangrong
Department Of Intelligent Image Information Division Of Regeneration And Advanced Medical Sciences G
-
Zhou Xiangrong
Gifu Univ. Graduate School Of Medicine Gifu Jpn
-
Zhou Xiangrong
Department Of Intelligent Image Information Division Of Regeneration And Advanced Medical Science Gi
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HAYASHI Hideki
Gifu Municipal Hospital
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Kondo H
Faculty Of Human Arts And Sciences University Of Human Arts And Sciences
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Kanematsu M
Dept. Of Radiology Graduate School Of Medicine Gifu University
-
Kanematsu Masayuki
Department Of Radiology Gifu University School Of Medicine
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Lee Gobert
Department Of Intelligent Image Information Graduate School Of Medicine Gifu University
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Fujita Hiroshi
Graduate School Of Medicine Gifu University
-
Kato Hiroki
Department Of Crystalline Materials Science School Of Engineering Nagoya University
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Hara Takeshi
Department Of Applied Chemistry Kyushu Institute Of Technology
-
Kondo Hiroshi
Department Of Agricultural Chemistry College Of Agriculture And Veterinary Medicine Nihon University
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Hara Takeshi
Department Of Animal Resource Sciences Graduate School Of Agricultural And Life Sciences The Univers
-
Kato Hiroki
Department Of Cardiovascular Surgery Hokkaido University Hospital
-
Kato Hiroki
Department Of Radiology School Of Medicine Gifu University
-
Fujita Hiroshi
Department Of Applied Physics Faculty Of Engineering University Of Tokyo
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Kanematsu Masayuki
Department Of Health Science Shiga University Of Medical Science
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KATO Hiroki
Department of Applied Chemistry, Faculty of Science, Science University of Tokyo
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