Brain CT Scoring Method Using Normal CT Scans to Detect Bain Damage for Emergency Medical Care(International Forum on Medical Imaging in Asia 2009 (IFMIA 2009))
スポンサーリンク
概要
- 論文の詳細を見る
In emergency medical care, it can be difficult to assess internal brain injury/damage sustained due to accidents or disease. In this study, we suggest CAD system for emergency medical care. The CAD (Computer-aided diagnosis) system is second opinion for the reading doctor. We study CAD system for head and abdominal regions for emergency medical care. This paper proposed the head CAD system. Method of this study consists of two processes. One is building brain model. Another is standardization. The experiment objects are cases that have a hematoma region that is subarachnoid hemorrhage, subdural hemorrhage, and epidural hemorrhage, etc. As a result of this experiment, all hematoma regions are enhanced. Thus this method can be useful in emergency medical care field. We developed a method that is enhanced hematoma region.
- 社団法人電子情報通信学会の論文
- 2009-01-12
著者
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Fujita Hiroshi
Department of Transfusion Medicine, Tokyo Metropolitan Bokutoh Hospital
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Zhou Xiangrong
Department of Intelligent Image Information, Division of Regeneration and Advanced Medical Science,
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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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Matsuoka Tetsuya
Senshu Critical Care Medical Center
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Matoba Naoto
Department of Intelligent Image Information Division of Regeneration and Advanced Medical Sciences G
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SAKAHITA Keiji
Senshu Critical Care Medical Center
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Shinozaki Kenji
Senshu Critical Care Medical Center
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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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Matoba Naoto
Department Of Intelligent Image Information Division Of Regeneration And Advanced Medical Sciences G
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Hara T
Department Of Intelligent Image Information Division Of Regeneration And Advanced Medical Sciences G
-
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
-
Fujita Hiroshi
Graduate School Of Medicine Gifu University
-
Hara Takeshi
Department Of Animal Resource Sciences Graduate School Of Agricultural And Life Sciences The Univers
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Fujita Hiroshi
Department Of Applied Physics Faculty Of Engineering University Of Tokyo
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