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Classification of Microcalcifications of the Diagnosis of Breast Cancer Using Artificial Neural Networks.
Annual rept. 1 Sep 95-31 Aug 96,
GEORGETOWN UNIV WASHINGTON DC
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Early detection of breast cancer depends on the accurate classification of microcalcifications. We have developed a computer vision system that can classify microcalcifications objectively and consistently to aid radiologists in the diagnosis of breast cancer. A convolution neural network CNN was employed to classify benign and malignant microcalcifications in the radiographs of pathological specimen that were digitized at a high resolution.
APPROVED FOR PUBLIC RELEASE