Classification of Microcalcifications of the Diagnosis of Breast Cancer UsingArtificial Neural Networks

摘要

Early detection of breast cancer depends on the accurate classification ofmicrocalcifications. 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.