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- [x] Upgrade dependency
- [x] Unit Test and Integration pass
- [x] Verify Radiology App for all models (infer, train on single/multi-gpu)
- [x] Verify Pathology App for all models (infer, train on…
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It is claimed that the MetaTensor in monai v0.9.1 is largely backwards compatible, though it is a good idea to test and confirm App SDK and the examples work without issues.
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Dear Authors,
Thanks so much for the great work! I found these two papers from your group are quite interesting:
[1]. UNETR: Transformers for 3D Medical Image Segmentation
[2]. Self-Supervised Pr…
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I have been getting this error (see below) and found that the error was caused by an empty list for all_transforms. Looking at the code in inverse.py, the problem was in line 186 where all_transforms …
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**Describe the bug**
The SwinUNETR architecture has a maximum reduction of 32 on each spatial dimension. However, not all image sizes currently work due to reshape errors in the sliding window attent…
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**Please use MONAI's Discussions tab**
I want to run this code https://github.com/Project-MONAI/tutorials/blob/main/3d_segmentation/spleen_segmentation_3d.ipynb and replace model UNET to SwinUNTER
…
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Hi,
I have tried to test the pretrained TorchScript model on my dataset. I followed the instructions on where to save the pretrained model and how to create the dataset. However when I try to run th…
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Hello,
First of all, thank you very much for you great work!
I would have a question regarding how you coped with the issue of having only very limited training data available (spleen segmentatio…
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Hi, thank you for your great work.
In the paper, you said that you train and evaluate the Swin UNETR model on the BraTS 2021. I see in the repo has 2 folders BTCV and BRATS2021 but the BRATS2021 is…
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How to offline save predict result after UNETR? Thanks!
And why you caculate dices using reshaped masks? I don't think this is a correct procedure. Instead, this is a trick.
You should save size…