Hybrid computer aided diagnostic system designs for screen film mammograms using DL‐based feature extraction and ML‐based classifiers

Abstract

Mammography is most popular imaging method used often in predicting breast cancer within women above age of 38 years. Various computer-assisted algorithms have been employed for classifying breast masses as normal or malignant using screen film mammographic (SFM) images. In present research work, exhaustive experimentations