Medical Image Classification on Tuberculosis D3 (test)
99.5AccuracyMAIL-RN50
Evaluation results
| Method | Links | |||
|---|---|---|---|---|
| MAIL-RN50base network=ResNet50, Params=20.8, Flops=2.182026.02 | 99.5 | 98.1 | 99.4 | |
| MAIL-RN18base network=ResNet18, Params=11.7, Flops=1.842026.02 | 99.3 | 97.8 | 99.3 | |
| DRIFA-NetParams=53.8, Flops=4.832026.02 | 99.1 | 97.4 | 99.1 | |
| MFMSAParams=26.9, Flops=1.42026.02 | 98.9 | 97.4 | 98.6 | |
| MTTU-NetParams=38.1, Flops=6.82026.02 | 98.8 | 97.4 | 99 | |
| DDA-NetParams=12.1, Flops=1.122026.02 | 98.6 | 97.7 | 98.8 | |
| M3AttParams=183, Flops=12.142026.02 | 98.5 | 97.2 | 98.8 | |
| NATParams=20, Flops=1.12026.02 | 98.4 | 96.7 | 98.2 | |
| GloriaParams=30.8, Flops=1.542026.02 | 98.2 | 97.5 | 98.9 | |
| POTTERParams=12, Flops=0.952026.02 | 97.8 | 97.2 | 98.2 | |
| MuMuParams=56.6, Flops=2.972026.02 | 97.8 | 97.3 | 97.8 | |
| HAMLETParams=57.3, Flops=3.522026.02 | 97.4 | 97.1 | 97.1 |