Comments (4)
Hi, Authors,
Could you please reply my question/concerns ?
Thank you!
from research-contributions.
Hi, I'm not the author, and I would like to ask where is the code of the pre-trained Swin-UNETR? I can't find it. Thank you very much.
from research-contributions.
Hi @overbestfitting ,
Thanks for the comment. There should have been a mistake about this.
Please check the latest pre-print (link) and leaderboard. Pre-trained Swin UNETR achieves an average Dice of 0.918 which outperform UNETR's 0.891. The difference is also shown in organ-wise dice comparisons.
Thanks
from research-contributions.
Hi @ljljlj02,
Thanks for the comment. Swin UNETR is now merged into core MONAI (link). We plan on releasing the research repository very soon. Please check this repository for updates.
Thanks
from research-contributions.
Related Issues (20)
- Validation
- One problem came when I was using SwinUNETR to train my own data HOT 5
- Invalid organ segmentation nii file produced from prostate_mri_lesion_seg_app
- SwinUNETR-V2
- About Test HOT 4
- about evaluation HOT 1
- About SwimUNETR Model Structure
- Unnecessary conv3 Layer Weights in DAE with MONAI v0.8.0 Leading to Compatibility Issues with v0.9.0+
- FileNotFoundError in swinunetr
- Swin-UNETR pretraining validation criterion
- AttributeError: 'NoneType' object has no attribute 'items' in Auto3dSeg
- Not reproducible results
- AttributeError: 'NoneType' object has no attribute 'items' in swinunetr algo
- Brats2020 HOT 3
- Evaluation
- difference brats2021 train test
- Unexpected key(s) in state_ dict: "epoch", "best_acc", "state_dict". HOT 3
- N foreground 0, N background 52003401,unable to generate class balanced samples. NaN or Inf found in input tensor.
- Understanding the contrastive loss implementation HOT 1
- Poor reconstruction usinf DAE pre-trained weights
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