Abdomen organ segmentation on Abd-MR (20% test)
92.02Dice (Liver)nnUNet
Evaluation results
| Method | Links | |||||
|---|---|---|---|---|---|---|
| nnUNetTraining Strategy=Supervised (80% Training, 20% Testing)2025.12 | 92.02 | 92.09 | 92.74 | 89.38 | 91.56 | |
| IrisTraining Strategy=Supervised (80% Training, 20% Testing), Evaluation Protocol=1-shot protocol (reproduced)2025.12 | 88.77 | 33.13 | 55.66 | 75.19 | 63.19 | |
| AtlasSegFMTraining Strategy=No Finetuning Required on Target Dataset2025.12 | 83.77 | 81.11 | 83.54 | 77.83 | 81.22 | |
| MAUPTraining Strategy=No Finetuning Required on Target Dataset2025.12 | 78.16 | 58.23 | 72.34 | 59.65 | 67.09 | |
| DSPNetTraining Strategy=Finetuned with Other Categories on Target Dataset2025.12 | 75.06 | 81.88 | 85.37 | 70.93 | 78.31 | |
| GMRDTraining Strategy=Finetuned with Other Categories on Target Dataset2025.12 | 73.65 | 75.97 | 89.95 | 65.44 | 76.25 | |
| CAT-NetTraining Strategy=Finetuned with Other Categories on Target Dataset2025.12 | 73.01 | 73.11 | 79.54 | 69.31 | 73.73 | |
| FAMNetTraining Strategy=No Finetuning Required on Target Dataset2025.12 | 73.01 | 57.28 | 74.68 | 58.21 | 65.79 | |
| VM-BaseTraining Strategy=No Finetuning Required on Target Dataset, Evaluation Protocol=1-shot protocol (reproduced)2025.12 | 72.85 | 72.75 | 70.77 | 64.49 | 70.21 | |
| SegGPTTraining Strategy=No Finetuning Required on Target Dataset, Evaluation Protocol=1-shot protocol (reproduced)2025.12 | 71.86 | 18.33 | 17.34 | 10.57 | 29.52 | |
| SSL-ALPTraining Strategy=No Finetuning Required on Target Dataset2025.12 | 70.74 | 55.49 | 67.43 | 58.93 | 63.01 | |
| SSL-ALPTraining Strategy=Finetuned with Other Categories on Target Dataset2025.12 | 70.49 | 81.25 | 79.86 | 64.49 | 74.02 | |
| UniverSegTraining Strategy=No Finetuning Required on Target Dataset, Evaluation Protocol=1-shot protocol (reproduced)2025.12 | 67.27 | 58.8 | 47.83 | 39.16 | 53.27 | |
| TycheTraining Strategy=No Finetuning Required on Target Dataset, Evaluation Protocol=1-shot protocol (reproduced)2025.12 | 61.2 | 51.37 | 77.92 | 40.56 | 57.76 | |
| IFATraining Strategy=No Finetuning Required on Target Dataset2025.12 | 50.22 | 35.99 | 34 | 42.21 | 40.61 | |
| RPTTraining Strategy=No Finetuning Required on Target Dataset2025.12 | 49.22 | 42.45 | 47.14 | 48.84 | 46.91 |