Comments (1)
Hi @282857341
Thanks for your interest in our work. We will release brain and spleen splits upon release of their codes.
For BTCV, the numbers reported in the paper are directly from the official BTCV test leaderboard (labels not available). We also provided a sample split for training and evaluating our model here.
Thanks
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Related Issues (20)
- Do the test data work under the test.py file? HOT 1
- RuntimeError: applying transform <monai.transforms.io.dictionary.LoadImaged object at 0x7f0f84fb8a90> HOT 6
- UNetFormer: A Unified Vision Transformer Model and Pre-Training Framework for 3D Medical Image Segmentation HOT 2
- 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
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