Comments (1)
this is fixed by updating the readme file.
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Related Issues (20)
- RuntimeError: CUDA out of memory HOT 2
- How should I reproduce the training process of Swin UNETR on BTCV so that it can achieve the mean dice score recorded in the paper? HOT 1
- While fine tuning the Swin UNETR, Training loss is not decreasing and training gets crashed after 10 epohs HOT 7
- normalization into [0, 1] using window width/level of 1500/-650 HOT 3
- Training error on BRATS21 HOT 8
- 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
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