Attention-guided erasing for enhanced transfer learning in breast abnormality classification.
Journal:
International journal of computer assisted radiology and surgery
PMID:
39812891
Abstract
PURPOSE: Breast cancer remains one of the most prevalent cancers globally, necessitating effective early screening and diagnosis. This study investigates the effectiveness and generalizability of our recently proposed data augmentation technique, attention-guided erasing (AGE), across various transfer learning classification tasks for breast abnormality classification in mammography.