Supporting Data for Systematic Review on Transfer Learning for Breast Mammography

This extraction table (Excel) contains one row per included study with fields for Title/Author, dataset(s), preprocessing, pretrained model(s), transfer learning approach (feature extraction vs fine‑tuning), reported metrics (accuracy, AUC, sensitivity, specificity, precision, recall, F1), code availability. It supports reproducible synthesis and can be reused for meta‑analyses and benchmarking. This PRISMA flow diagram summarizes the study selection process: records identified across PubMed, Scopus, IEEE Xplore, and SpringerLink; duplicates removed; title/abstract screening; full‑text assessment; and final inclusion of 154 studies.