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About this paper
Simon Hadush Nrea, Filimon Gidey Gebremichael, Gebrekirstos Hagos Gebrekirstos, Yaecob Girmay Gezahegn
HCMAN combines mammograms with seven clinical variables, using image features to attend to patient context and a learned gate to fuse the two representations. On its held-out test set, it reports 97.8% accuracy and 0.987 AUC, compared with 93.2% accuracy for image-only ResNet-50. Ablations report 95.4% accuracy without cross-modal attention. This retrospective, single-country study does not establish clinical effectiveness.
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