Improvement of SVM based Microcalcification Detection
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概要
- 論文の詳細を見る
A Computer Aided Diagnosis (CAD) is useful to improve the diagnostic accuracy of malignancy microcalcifications in early stage of detecting breast cancer. The previous work that is support vector machine (SVM) based microcalcification detection outperformed one using a conventional classifier. But, that method has some problem that is to spend much computational time for microcalcification detection. In this paper, we propose a segmentation method that selects high probable region as microcalcification for reducing computational complexity. Experimental results showed that the proposed method is not only reducing processing time, but also improving detection result.
- 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 Sung
Department Of Anatomy
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Ro Yong
Image And Video System Lab At Information And Communications University
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Kim Sung
Department Of Biomedical Engineering School Of Medicine Konkuk University
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Ro Yong
Image And Video Systems Lab. Information And Communications University
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Kwon Ju
Image and Video Systems Lab. Information and Communications University
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Kim Sung
Department of Advanced Materials Engineering for Information and Electronics, Kyung Hee University, Yongin, Gyeonggi 446-701, Republic of Korea
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