期刊名称：Journal of Theoretical and Applied Information Technology
印刷版ISSN：1992-8645
电子版ISSN：1817-3195
出版年度：2015
卷号：71
期号：3
出版社：Journal of Theoretical and Applied
摘要：Microcalcifications can be a very important sign of breast cancer. As their detection is very crucial to further investigation, automatic detection in mammograms can help practitioners to locate missed abnormalities. The aim of this work is to propose a simple method based on fuzzy clustering to efficiently segment microcalcifications. This method which is derived from two existing methods, automatically determines the number of classes in each image and then isolates potential microcalcifications. Compared to previous methods, the proposed method was tested on 7 Regions of Interest and demonstrated higher performance reaching up to 0.93 in terms of F1-Score and an overall best performace.
