Alber S. Aziz

Breast cancer detection and classification via a robust deep learning approach

This work presents a leakage-controlled deep-learning framework for breast cancer classification using the CBIS-DDSM mammography archive that combines patient-level data partitioning before augmentation, a two-stage transfer-learning strategy based on ResNet50, and an Inter-View Attention Fusion (IVAF) module for adapt...