Automatic detection of abnormal mammograms in mammographic images
We develop a computer aided system to detect abnormal mammograms. We extract only 5 features of intensity and gradient for mass detection. Principal component analysis is applied to determine the feature weights. The abnormality detection classifier by feature weight adjustments is proposed. We evaluate our method upon 2 different datasets.
principal component analysis digital mammography preprocessing pectoral muscle suppression feature extraction