Computer-aided Classification of Mammographic Masses Using Visually Sensitive Image Features

摘要

PurposeTo develop a new computer-aided diagnosis (CAD) scheme that computes visually sensitive image features routinely used by radiologists to develop a machine learning classifier and distinguish between the malignant and benign breast masses detected from digital mammograms.