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Breast Cancer Risk Prediction on MRI screening cohort (test)

77.1AUC (1Y)LoGo-MR-RISK
55.98861.46966.9572.431Apr 13, 2026

Evaluation results

MethodLinks
LoGo-MR-RISKBackbone=ResNet18, FLOPs=354, FPS=182026.0477.169.665.863.963.367.963.1
LoGo3-MR-RISKBackbone=ResNet18, FLOPs=1082, FPS=62026.0475.469.767.565.96568.763
LoGo3-MR-RISKBackbone=ResNet50, FLOPs=2482, FPS=22026.0472.969.166.263.962.76762.9
2D ABMILBackbone=ResNet50, FLOPs=802, FPS=52026.0472.465.162.560.660.664.258.9
LoGo-MR-RISKBackbone=ResNet50, FLOPs=811, FPS=52026.0472.16865.463.963.166.562.5
2D ABMILBackbone=ResNet18, FLOPs=354, FPS=182026.0471.568.564.763.562.466.161.9
2D LSTM-MILBackbone=ResNet50, FLOPs=810, FPS=52026.0471.465.262.76262.164.659.8
2D TransMILBackbone=ResNet50, FLOPs=802, FPS=52026.0470.963.761.562.163.864.460.3
2D MoEBackbone=ResNet50, FLOPs=803, FPS=52026.0470.865.864.263.463.465.561.1
2D TransMILBackbone=ResNet18, FLOPs=354, FPS=172026.0468.763.561.560.360.462.959.4
2D MambaMILBackbone=ResNet18, FLOPs=354, FPS=172026.0468.360.25857.356.860.156.2
2D MambaMILBackbone=ResNet50, FLOPs=809, FPS=52026.0468.162.959.657.758.761.457.7
2D LSTM-MILBackbone=ResNet18, FLOPs=354, FPS=172026.0467.864.661.658.557.56258.8
3D MFFNBackbone=ResNet50, FLOPs=1575, FPS=22026.0467.76462.561.561.363.461.3
2D Baseline (Mean)Backbone=ResNet18, FLOPs=354, FPS=182026.0463.761.16055.654.75956.2
3D MFFNBackbone=ResNet18, FLOPs=1187, FPS=32026.0462.460.658.956.856.659.156.7
2D Baseline (Mean)Backbone=ResNet50, FLOPs=801, FPS=52026.0461.661.259.857.857.559.657.4
2D MoEBackbone=ResNet18, FLOPs=354, FPS=172026.0461.459.657.95959.959.657.6
3D BaselineBackbone=ResNet50, FLOPs=1518, FPS=22026.046057.657.458.358.558.455.9
3D BaselineBackbone=ResNet18, FLOPs=1170, FPS=42026.0456.858.156.755.155.656.556.4