An algorithm for early breast cancer detection in mammograms

Abstract

Presents a novel algorithm specifically designed for detecting clusters of microcalcifications that are early mammographic signs of breast cancer. The algorithm, which can be implemented in a general-purpose computer, is intended to assist the radiologist by indicating the location of suspicious clusters. A small number of parameters (features) are extracted from the mammogram and used in a decision-making process that requires no human supervision.<>