mmfm-breast-imaging-checkpoints

MMFM Breast-Imaging Baselines — Single-Modality ResNet-18 Checkpoints

ResNet-18 binary (benign vs. malignant) classification checkpoints, trained per-dataset on eight public breast-imaging sources spanning ultrasound, mammography, and DCE-MRI. Code: MMFM repo. Full write-up, methodology, and comparison to each source paper's own numbers: docs/latex/main.tex in the repo.

These are single-modality baselines, not the 3-branch fusion model. Each checkpoint is models.SingleBackboneClassifier (one ResNet-18 backbone, ImageNet-pretrained, first conv adapted for non-RGB inputs where applicable) — see models/backbone.py / training/train.py in the repo for the loading code.

Files

For the 5-fold datasets, this is one fold's checkpoint, not an ensemble or the averaged model — reported accuracy is the 5-fold mean from the full report for context, not this specific file's number. See the repo's docs/results_report.md and docs/per_class_results.md for per-fold and per-class (sensitivity/specificity/FP-vs-FN bias) detail.

Known limitations (see the full report for detail)

• BUSC's near-perfect accuracy is flagged, not confirmed — Grad-CAM shows diffuse, non-lesion-localized activation, consistent with the dataset's lack of an ROI crop step.
• mini-MIAS, CDD-CESM, and CMMD are weak/preliminary results, not submission-ready baselines.
• Most datasets use image- or row-level splits, not patient-level, where the source release doesn't ship a patient identifier (BUSI, BUSC) — possible near-duplicate leakage across folds.

Source data attribution

• BUS-BRA: Gómez-Flores et al., 2024, Medical Physics, 10.1002/mp.16812
• BUSI: Al-Dhabyani et al., 2020, Data in Brief, 10.1016/j.dib.2019.104863
• BUSC: Mendeley Data
• BrEaST-Lesions USG: Pawlowska et al., 2024, Scientific Data, 10.1038/s41597-024-02984-z, CC BY 4.0
• mini-MIAS: Suckling et al., 1994
• BreastDM: Zhao et al., 2023, Computers in Biology and Medicine, 10.1016/j.compbiomed.2023.107255
• CDD-CESM: Khaled et al., 2022, Scientific Data, 10.1038/s41597-022-01238-0, CC BY 4.0, via TCIA
• CMMD: Cui et al., 2021, The Cancer Imaging Archive, 10.7937/tcia.eqde-4b16, CC BY 4.0, via TCIA

Intended use

Research and educational use for breast-imaging CAD baselines and reproduction studies. Not validated for clinical use. Several of these checkpoints (BUSC, mini-MIAS, CDD-CESM, CMMD) have known weaknesses documented above and in the linked report — read those sections before using any of these checkpoints for anything beyond a baseline comparison.