Zhou Xiangrong | Department of Intelligent Image Information, Division of Regeneration and Advanced Medical Science,
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概要
- 同名の論文著者
- Department of Intelligent Image Information, Division of Regeneration and Advanced Medical Science, の論文著者
関連著者
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Zhou Xiangrong
Department of Intelligent Image Information, Division of Regeneration and Advanced Medical Science,
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Zhou Xiangrong
Department Of Intelligent Image Information Division Of Regeneration And Advanced Medical Science Gi
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Fujita Hiroshi
Department of Transfusion Medicine, Tokyo Metropolitan Bokutoh Hospital
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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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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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Zhou Xiangrong
Department Of Intelligent Image Information Division Of Regeneration And Advanced Medical Sciences G
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Zhou Xiangrong
Gifu Univ. Graduate School Of Medicine Gifu Jpn
著作論文
- In Vivo Quantitative Tissue Characterization of Angiographically Normal Coronary Lesions and the Relation With Risk Factors : A Study Using Integrated Backscatter Intravascular Ultrasound
- 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))
- An improved powell method for registration of MRI and MRA (医用画像)
- Automated body cavity extraction and recognition based on non-contrast torso CT images(Joint Session 2)
- K-means clustering and classification of medical images based on regions-of-interest
- Development of an Automated Method for the Detection of Chronic Lacunar Infarct Regions in Brain MR Images(Image Recognition, Computer Vision)
- Classification of Cirrhotic Liver in MRI Images Using Texture Features
- An atlas-driven approach for automated recognition of liver structure in non-contrasted torso CT images
- Automatic Segmentation of Hepatic Tissue and 3D Volume Analysis of Cirrhosis in Multi-Detector Row CT Scans and MR Imaging(Biological Engineering)
- Automated detection of chest nodules in 3D chest CT scans by using 2nd-order autocorrelation features