Optimal Selection of Operating Point for Hessian-based Polyp Detection Method in CT Colonography
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概要
- 論文の詳細を見る
Hessian matrix is the square matrix of second partial derivatives of a scalar-valued function and is well known for object recognition in computer vision and medical shape analysis. We appied this Hessian matrix to polyp detection in CTC. This Hessian-based methods requires two optional parameters, Gaussian blurring factor and shape threshold. To optimize the parameters and validate this method, we have produced anthropomorphic pig phantoms. We performed FROC analysis on these phantoms to find optimal shape threshold in regarding high sensitivity and relatively low false positive rate. We found 110 as optimal shape threshold and in this setting we got 82.5% sensitivity, 8.64 as FP rate.
- 社団法人電子情報通信学会の論文
- 2007-01-19
著者
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KIM Jong
Department of Chemical Engineering, Dong A University
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Lee June-Goo
Interdisciplinary Program in Radiation Applied Life Science, Seoul National University College of Me
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Kim Se
Department of Radiology, Seoul National University Hospital
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Kim Kwang
Department Of Radiology College Of Medicine Seoul National University
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Kim Jong
Seoul National Univ. Seoul Kor
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Lee June‐goo
Seoul National Univ. Coll. Medicine
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Kim Kwang
Division Of Basic & Applied Science National Cancer Center
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Lee June-goo
Interdisciplinary Program In Radiation Applied Life Science Seoul National University College Of Med
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Kim Jong
Department Of Agricultural Chemistry Faculty Of Agriculture Kyoto University
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Kim Se
Seoul National Univ. Hospital Seoul Kor
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Kim Se
Department Of Anatomy College Of Veterinary Medicine Chonnam National University
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Kim Namkug
Department of Radiology, Asan Medical Center
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Kim Namkug
Department Of Radiology Asan Medical Center
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Kim Namkug
Department Of Industrial Engineering Seoul National University
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Kim Kwang
Department Of Anatomy Wonkwang University
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Kim Jong
Department Of Agricultural Bio-resources National Academy Of Agricultural Science Rural Development
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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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