📊 Showing 5 results | 📏 Metric: Dice (Average)
| Rank | Model | Paper | Dice (Average) | Date | Code |
|---|---|---|---|---|---|
| 1 | Swin UNETR | Self-Supervised Pre-Training of Swin Transformers for 3D Medical Image Analysis | 89.28 | 2021-11-29 | 📦 Project-MONAI/research-contributions 📦 jusiro/fewshot-finetuning |
| 2 | DiNTS | DiNTS: Differentiable Neural Network Topology Search for 3D Medical Image Segmentation | 88.68 | 2021-03-29 | 📦 Project-MONAI/tutorials |
| 3 | nnUNet | nnU-Net: Self-adapting Framework for U-Net-Based Medical Image Segmentation | 88.09 | 2018-09-27 | 📦 NVIDIA/DeepLearningExamples 📦 PaddlePaddle/PaddleSeg 📦 MIC-DKFZ/nnunet |
| 4 | Trans VW | Transferable Visual Words: Exploiting the Semantics of Anatomical Patterns for Self-supervised Learning | 87.64 | 2021-02-21 | 📦 JLiangLab/SemanticGenesis 📦 fhaghighi/SemanticGenesis 📦 JLiangLab/TransVW 📦 fhaghighi/TransVW |
| 5 | Models Genesis | Models Genesis: Generic Autodidactic Models for 3D Medical Image Analysis | 87.19 | 2019-08-19 | 📦 MrGiovanni/ModelsGenesis 📦 cswin/AWC |