Nodule Categorization on LUNA16 (val)
0.9846AUCTransVW
Evaluation results
| Method | Links | |
|---|---|---|
| TransVWPre-training Supervised=false, Pre-training Dataset=LUNA16 [7]2021.02 | 0.9846 | |
| I3DPre-training Supervised=true, Pre-training Dataset=Kinetics [15]2021.02 | 0.9826 | |
| VW restorationPre-training Supervised=false, Pre-training Dataset=LUNA16 [7]2021.02 | 0.981 | |
| Models GenesisPre-training Supervised=false, Pre-training Dataset=LUNA16 [7]2021.02 | 0.9807 | |
| VW classificationPre-training Supervised=false, Pre-training Dataset=LUNA16 [7]2021.02 | 0.9749 | |
| Rubik's CubePre-training Supervised=false, Pre-training Dataset=LUNA16 [7]2021.02 | 0.9624 | |
| MedicalNetPre-training Supervised=true, Pre-training Dataset=3DSeg-8 [17]2021.02 | 0.958 | |
| InpaintingPre-training Supervised=false, Pre-training Dataset=LUNA16 [7]2021.02 | 0.9512 | |
| Context restorationPre-training Supervised=false, Pre-training Dataset=LUNA16 [7]2021.02 | 0.949 | |
| RotationPre-training Supervised=false, Pre-training Dataset=LUNA16 [7]2021.02 | 0.9442 | |
| NiftyNetPre-training Supervised=true, Pre-training Dataset=Pancreas-CT, BTCV [23]2021.02 | 0.9414 | |
| RandomPre-training Supervised=false, Pre-training Dataset=N/A2021.02 | 0.9125 |