Liver Segmentation On Lits2017
Metrics
Dice
HD
IoU
Results
Performance results of various models on this benchmark
Comparison Table
| Model Name | Dice | HD | IoU |
|---|---|---|---|
| ct-liver-segmentation-via-pvt-based-encoding | 86.78 | 3.50 | 78.46 |
| h-denseunet-hybrid-densely-connected-unet-for | 96.5 | - | - |
| kiu-net-overcomplete-convolutional | - | - | 89.46 |
| training-on-polar-image-transformations | 93.02 | - | 89.85 |
| models-genesis-generic-autodidactic-models | 91.13 | - | 79.52 |
| kiu-net-overcomplete-convolutional | 94.23 | - | - |
| h-denseunet-hybrid-densely-connected-unet-for | 82.4 | - | - |
| 190503639 | 94 | - | - |
| learning-semantics-enriched-representation | 92.27 | - | 85.6 |