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통계적 패턴 분류법과 패턴 매칭을 이용한 유방영상의 미세석회화 검출

Other Titles
 Detection of Mammographic Microcalcifications by Statistical Pattern Classification 81 Pattern Matching 
Authors
 양윤석  ;  김덕원  ;  김은경 
Citation
 Journal of Biomedical Engineering Research (의공학회지), Vol.18(4) : 357-363, 1997 
Journal Title
Journal of Biomedical Engineering Research(의공학회지)
ISSN
 1229-0807 
Issue Date
1997
Abstract
The early detection of breast cancer is clearly a key ingredient for reducing breast cancer mortality. Microcalcification is the only visible feature of the DCIS's(ductal carcinoma in situ) which consist 15 ~ 20% of screening-detected breast cancer. Therefore, the analysis of the shapes and distributions of microcalcifications is very significant for the early detection. The automatic detection procedures have b(:on the concern of digital image processing for many years. We proposed here one efficient method which is essentially statistical pattern classification accelerated by one representative feature, correlation coefficient. We compared the results by this additional feature with results by a simple gray level thresholding. The average detection rate was increased from 48% by gray level feature only to 83% by the proposed method The performances were evaluated with TP rates and FP counts, and also with Bayes errors.
Files in This Item:
T199703190.pdf Download
Appears in Collections:
1. College of Medicine (의과대학) > Dept. of Medical Engineering (의학공학교실) > 1. Journal Papers
1. College of Medicine (의과대학) > Dept. of Radiology (영상의학교실) > 1. Journal Papers
Yonsei Authors
Kim, Deok Won(김덕원)
Kim, Eun-Kyung(김은경) ORCID logo https://orcid.org/0000-0002-3368-5013
URI
https://ir.ymlib.yonsei.ac.kr/handle/22282913/178039
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