| Paper | Code | Dice (Average) | NSD | ModelName | ReleaseDate |
|---|---|---|---|---|---|
| Self-Supervised Pre-Training of Swin Transformers for 3D Medical Image Analysis | ✓ Link | 78.68 | 89.28 | Swin UNETR | 2021-11-29 |
| DiNTS: Differentiable Neural Network Topology Search for 3D Medical Image Segmentation | ✓ Link | 77.93 | 88.68 | DiNTS | 2021-03-29 |
| nnU-Net: Self-adapting Framework for U-Net-Based Medical Image Segmentation | ✓ Link | 77.89 | 88.09 | nnUNet | 2018-09-27 |
| Models Genesis: Generic Autodidactic Models for 3D Medical Image Analysis | ✓ Link | 76.97 | 87.19 | Models Genesis | 2019-08-19 |
| Transferable Visual Words: Exploiting the Semantics of Anatomical Patterns for Self-supervised Learning | ✓ Link | 76.96 | 87.64 | Trans VW | 2021-02-21 |