COMPUTER-AIDED MODEL FOR BREAST CANCER DETECTION IN MAMMOGRAMS
نویسندگان
چکیده
منابع مشابه
Computer Aided Detection of Abnormalities in Mammograms
A system that automatically identifies suspicious regions in mammograms could be useful to radiologists by drawing attention to abnormalities that may otherwise have been overlooked. Two detection algorithms are described; one based on the combination of evidence from multiple cue generators and the other based on fuzzy pyramid linking. The latter algorithm proved to be the more effective for l...
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Breast cancer is the second leading cause of cancer death in women. Accurate early detection can effectively reduce the mortality rate caused by breast cancer. Masses and microcalcification clusters are an important early signs of breast cancer. However, it is often difficult to distinguish abnormalities from normal breast tissues because of their subtle appearance and ambiguous margins. Comput...
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Xray mammography is regarded as the most effective tool for the detection and diagnosis of breast cancer, but the interpretation of mammograms is a difficult and errorprone task. Computeraided detection (CADe) systems address the problem that radiologists often miss signs of cancers that are retrospectively visible in mammograms. Furthermore, computeraided diagnosis ...
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ژورنال
عنوان ژورنال: International Journal of Pharmacy and Pharmaceutical Sciences
سال: 2016
ISSN: 0975-1491
DOI: 10.22159/ijpps.2016v8s2.15216