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Medical Image Classification on CBIS-DDSM D10 (test)

96.5AccuracyMAIL-RN50
91.09292.49693.995.304Feb 17, 2026

Evaluation results

MethodLinks
MAIL-RN50base network=ResNet50, Params=20.8, Flops=2.182026.0296.596.596.9
MAIL-RN18base network=ResNet18, Params=11.7, Flops=1.842026.0296.196.196.1
DRIFA-NetParams=53.8, Flops=4.832026.0295.295.295.4
MFMSAParams=26.9, Flops=1.42026.0294.694.594.6
MTTU-NetParams=38.1, Flops=6.82026.0294.193.394.5
M3AttParams=183, Flops=12.142026.0293.292.793.6
DDA-NetParams=12.1, Flops=1.122026.0292.591.891.5
GloriaParams=30.8, Flops=1.542026.0292.591.291.9
MuMuParams=56.6, Flops=2.972026.0292.191.792.5
NATParams=20, Flops=1.12026.029291.791.9
HAMLETParams=57.3, Flops=3.522026.0291.891.891.3
POTTERParams=12, Flops=0.952026.0291.391.190.8