Multi-label Tissue Classification on Hosseini et al. (test)
0.856Avg Binary AccuracyI-B
Evaluation Results
| Method | Links | |
|---|---|---|
| I-BPre-training method=ImageNet2021.03 | 0.856 | |
| MTL+MICPre-training method=ARCH + Multi-task2021.03 | 0.854 | |
| MICPre-training method=ARCH2021.03 | 0.837 | |
| SSPre-training method=Self-supervised2021.03 | 0.775 | |
| MTLPre-training method=Multi-task2021.03 | 0.758 | |
| I-L-OPre-training method=ImageNet2021.03 | 0.75 | |
| I-LPre-training method=ImageNet2021.03 | 0.569 |