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http://dx.doi.org/10.3745/KIPSTB.2009.16-B.2.165

Fuzzy Cluster Based Diagnosis System for Digital Mammogram  

Rhee, Hyun-Sook (동양공업전문대학 전산정보학부)
Yoon, Seok-Min (동양공업전문대학 전산정보학부)
Publication Information
The KIPS Transactions:PartB / v.16B, no.2, 2009 , pp. 165-172 More about this Journal
Abstract
According to the American Cancer Society, breast cancer is the second largest cause of cancer deaths and most frequently diagnosed cancer in women. The currently most popular method for early detection of breast cancer is the digital mammography. A mass or calcification lesion has been known as the most important clue for the diagnosis. In this paper, we propose a diagnosis approach based on fuzzy cluster knowledge base. We combine different two sources of feature data in duel OFUN-NET and produce the diagnosis result with possibility degree. We also present the experimental results on the dataset of mass and calcification lesions extracted from the public real world mammogram database DDSM. These results show higher classification accuracy than conventional methods and the feasibility as a decision supporting tool for diagnosis of digital mammogram.
Keywords
Fuzzy Cluster; Mammogram; Feature Selection; Diagnosis System;
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Times Cited By KSCI : 2  (Citation Analysis)
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