Medical Image Segmentation on ETIS (test)
79.6mDiceSSformer-L
Evaluation results
| Method | Links | ||
|---|---|---|---|
| SSformer-LTrain Set=Kvasir & CVC-ClinicDB2022.03 | 79.6 | 72 | |
| SSformer-STrain Set=Kvasir & CVC-ClinicDB2022.03 | 76.7 | 69.8 | |
| UACANet-LTrain Set=Kvasir & CVC-ClinicDB2022.03 | 76.6 | 68.9 | |
| CaraNetTrain Set=Kvasir & CVC-ClinicDB2022.03 | 74.7 | 67.2 | |
| UACANet-STrain Set=Kvasir & CVC-ClinicDB2022.03 | 69.4 | 61.5 | |
| ProMISe (Cross)Prompt Points=16, Trainable Parameters=45.6M, Training Images=1450/25942024.03 | 69.1 | 59.1 | |
| ProMISe (Cross)Prompt Points=5, Trainable Parameters=45.6M, Training Images=1450/25942024.03 | 67.8 | 57.8 | |
| Med2DPrompt Points=5, Trainable Parameters=184.5M, Training Images=5838/79352024.03 | 67.7 | 57.1 | |
| ProMISe (RN)Prompt Points=16, Trainable Parameters=23.0M, Training Images=1450/25942024.03 | 67.3 | 56.6 | |
| PraNetTrain Set=Kvasir & CVC-ClinicDB2022.03 | 62.8 | 56.7 | |
| Med2DPrompt Points=16, Trainable Parameters=184.5M, Training Images=5838/79352024.03 | 62.2 | 51.4 | |
| ProMISe (RN)Prompt Points=5, Trainable Parameters=23.0M, Training Images=1450/25942024.03 | 60.5 | 50.8 | |
| SAMPrompt Points=5, Trainable Parameters=-, Training Images=-2024.03 | 54.1 | 47.2 | |
| SAMPrompt Points=16, Trainable Parameters=-, Training Images=-2024.03 | 52.4 | 45.5 | |
| ResUNet++Trainable Parameters=-, Training Images=1450/25942024.03 | 40.1 | 34.4 | |
| U-NetTrainable Parameters=-, Training Images=1450/25942024.03 | 39.8 | 33.5 |