Computer Assisted Diagnosis of Microcalcifications in Mammograms: A Scale-Space Approach
نویسندگان
چکیده
Computer Assisted Diagnosis (CAD) is rapidly reaching worldwide acceptance in different fields of medicine. Particularly, CAD has found one of its main applications in breast cancer diagnosis where the detection of microcalcifications in women breasts is typically associated with the presence of cancer. In this paper, a method for automatic breast contour detection is presented as a pre-processing step for microcalcification detection. Then, a combination of scale-space algorithms are used to locate candidate regions of microcalcifications and a significant percentage of false positives are finally discriminated via thresholding. Detected regions using this method have been found to describe 91.6% of microcalcifications from the MIAS database with an average specificity of 97.30%.
منابع مشابه
Fuzzy logic and scale space approach to microcalcification detection
Breast cancer is one of the leading causes of women mortality in the world. Since the causes are unknown, breast cancer cannot be prevented. It is difficult for radiologists to provide both accurate and uniform evaluation over the enormous number of mammograms generated in widespread screening. Microcalcifications and masses are the earliest signs of breast carcinomas and their detection is one...
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