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COMPUTER AIDED SYSTEM FOR DETECTING MASSES IN MAMMOGRAMS
A Two System Development Study
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An intelligent CAD can be very helpful in detecting §masses in the breast earlier and faster than typical §screening programs. Two such systems are presented, §First a system based on Radial Basis neural networks §coupled with feature extraction techniques for §detecting masses in mammograms. Suspicious regions §are identified following a run of the trained neural §network. Co-occurrence matrices are constructed at §different distances for each mammogram. Statistical §features are used to train and test the Radial Basis §neural network. The second system presented was §developed based on linear subtraction and feature §extraction techniques to identify asymmetries §between left and right breast mammograms. This §system is based on the idea that a deviation from §the normal architectural symmetry of the right and §left breasts could indicate a cancerous mass. The §results show that both systems could be helpful to §the radiologist by serving as a second reader in §mammography screening.
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