Comments (3)
ahatamiz
commented on July 21, 2024
Hi @mmaaz60
Thanks for the interest in our work. For the leaderboard benchmarks, an ensemble of 20 models were used. In addition, following previous SOTA on this leaderboard, such as PaNN, we used extra private training data (80 volumes total). We have discussed this in section 4.3 of the UNETR paper (which uses same settings).
Best,
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maxmanko
commented on July 21, 2024
Hello @ahatamiz,
Thank you for your amazing work! Your results are super inspiring!
I would like to test some my thoughts on neural net architecture modifications, but I wanna be confident in my experiments. Do you have results on test set with no extra data?
And is this extra data publicly available? It is pretty difficult to try outperform your SOTA using almost triple time smaller dataset.
Best regards,
from research-contributions.
constantinulrich
commented on July 21, 2024
Hi,
i would also be interested in the additional data or at least the results without additional data. Is there a chance to share this with us? Thank you.
Best
from research-contributions.
Related Issues (20)
- Training model cannot load properly HOT 2
- Add version control for the auto3dseg
- AttributeError: module 'torch._C' has no attribute '_cuda_setDevice' HOT 1
- Converting SwinUNETR to ONNX or Tensorflow
- RuntimeError: applying the transform < monai. Transforms. Spatial. Dictionary. Orientationd object at 0 x7f791cb8bfd0 >
- Problem with the number of output channels in brats data sets HOT 2
- Unable to run prostate-mri-lesion-seg on Colab HOT 6
- Unable to run the prostate-mri-lesion-seg tutorial notebook using jupyter HOT 6
- Why is there a significant difference in the maximum number of epochs required for different segmentation tasks? HOT 4
- Swin-UNETR pretraining model weights do not load into the model
- 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
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