Classification in Dynamic Contrast-enhanced Breast MRI : Comparison of Cluster-based approach and BI-RADS Criteria
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概要
- 論文の詳細を見る
This study introduces an automatic classification of kinetic patterns on dynamic contrast-enhanced (DCE) breast MR images. We performed k-means cluster analysis technique from real world tumor cases into a reasonable number of reference pattern set that is representative of each cluster. This technique, then, classifies the tumor specific patterns from the given MRI data by measuring vector distances from the reference pattern set. The detections are also compared with color-highlighted texture patterns by reference pattern of BI-RAIDS kinetic criteria. This method will enhance the radiologists' capability to efficiently identify and characterize the multi-dimensional patterns from tumors on DCE breast MRI.
- 社団法人電子情報通信学会の論文
- 2007-01-20
著者
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Kim Jong
Interdisciplinary Program in Radiation Applied Life Science, Seoul National University College of Me
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Kim Jong
Inter-university Semiconductor Research Center Seoul National University:school Of Electrical Engine
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Kim Kwang
Department Of Radiology College Of Medicine Seoul National University
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PARK Jung
Department of East-West Medicine, Graduate School, Kyung Hee University
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PARK Sang
Inter-University Semiconductor Research Center and School of Electrical Engineering and Computer Sci
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Kim Jong
Seoul National Univ. Seoul Kor
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Park Jung
Interdisciplinary Program In Radiation Applied Life Science Major Seoul National University
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Park Sang
Seoul National Univ. Coll. Medicine Seoul Kor
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Kim Kwang
Division Of Basic & Applied Science National Cancer Center
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Lee Sang
Interdisciplinary Program in Radiation Applied Life Science, Seoul National University
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Moon Woo
Department of Radiology, Seoul National University College of Medicine
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Lee Sang
Seoul National Univ. Seoul Kor
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Lee Sang
Interdisciplinary Program In Radiation Applied Life Science Major Seoul National University
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Kim Kwang
National Cancer Center Ilsandong‐gu Kor
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Moon Woo
Department Of Radiology Seoul National University College Of Medicine
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Moon Woo
Department Of Diagnostic Radiology Seoul National University Hospital
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Park Jung
Department Of Chemistry Gyeongsang National University
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Kim Kwang
Department Of Anatomy Wonkwang University
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Song Jeong
Interdisciplinary Program In Radiation Applied Life Science Major Seoul National University
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Park Jung
Department Electrical Engineering Busan National University
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Kim Jong
Inter-University Semiconductor Research Center and School of Electrical Engineering and Computer Science, Seoul National University, San 56-1, Sillim-dong, Gwanak-ku, Seoul 151-742, Republic of Korea
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KIM Kwang
Department of Advanced Materials Engineering (Polymerics Program), Korea Advanced Institute of Science and Technology (KAIST)
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