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A Computer Aided Diagnosis System For Breast Cancer Using Independent Component Analysis And Fuzzy Classifier, Fadi Abu-Amara
A Computer Aided Diagnosis System For Breast Cancer Using Independent Component Analysis And Fuzzy Classifier, Fadi Abu-Amara
Masters Theses
Screening mammograms by a radiologist is a repetitive task that causes fatigue and eye strain. For every thousand cases analyzed by a radiologist, only 3 to 4 are cancerous and thus an abnormality may be overlooked. Computer-Aided Detection (CAD) algorithms have been developed to assist radiologists in detecting mammographic lesions. CAD algorithms have improved total radiologists' detection accuracy of cancerous tissues. In this thesis, a computer aided detection and diagnosis (CADD) system for breast cancer is developed. The algorithm framework is based on combining principal component analysis (PCA), independent component analysis (ICA), and fuzzy classifier to identify and label suspicious …