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Microcalcification Extraction by Using Automatic Thredholding Based on Region Growing  

원철호 (경일대학교 제어계측공학과)
권용준 (경북대학교, 전자전기컴퓨터학)
이정현 (경북대학교, 전자전기컴퓨터학)
박희준 (경북대학교, 전자전기컴퓨터학)
임성운 (경일대학교 제어계측공학)
김명남 (경북대학교 의과대학 의공학교)
조진호 (경북대학교, 전자전기컴퓨터학부, 경북대학교 의과대학 의공학교실)
Publication Information
Journal of Biomedical Engineering Research / v.25, no.4, 2004 , pp. 235-242 More about this Journal
Abstract
In this paper, we proposed the algorithm for detection of microtalcification by automatic threshold decision based on region growing method. The region for optimal threshold is grown from local maximum pixel by increasing repeatedly threshold in microralcification candidate region. Then, the optimal threshold is automatically decided at the maximum value of the contrast and edge sharpness in this region. Microcalcifications could be efficiently detected as satisfied result that true positive ratio is 81.5% and average false positive numbers are 1.1 about total 299 microcalcifirations in real image. In a result, we showed that this algorithm can be used to aid diagnostic-radiologist for the diagnosis of the early phase of breast cancer.
Keywords
Digital X-ray mammographic images; microcalcification; region growing; automatic thresholding;
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