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Implement DenseVNet to GaNDLF
https://niftynet.readthedocs.io/en/dev/niftynet.network.dense_vnet.html#niftynet.network.dense_vnet.DenseVNet
https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6076994/
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Hi,
Thank you for sharing our wonderful work. Could you please provide some clarity on the evaluation accuracy on the BTCV validation dataset.
1) For UNETR when the pretrained models provided ar…
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Currently if `monai` is not found in Slicer, the CLI are specifying to install version [0.7.0](https://github.com/Project-MONAI/MONAI/releases/tag/0.7.0) (released Sept 2021). As of adding this exten…
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Hi everyone
I am trying to use DeepEdit to obtain automatic segmentations of lungs on MRI images.
The dataset that I am using can be found here: [Zenodo Covid-19](https://zenodo.org/record/3757476…
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For the deepedit workflow, is it possible to use a pretrained unetr/dynunet model to train a deepedit model instead of training everything from scratch? Thank you!
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I believe there is an error with the implementation of the UNETR network within monai.networks.nets.unetr.py
**Issue**
From the forward function:
```
def forward(self, x_in):
x, hidden_…
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when i use UNETR_model_best_acc.pt,i can get the
result,but when i use my own model.pt,there have RuntimeError: PytorchStreamReader failed locating file constants.pkl: file not found.how can i solve …
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My data image shape [480,480,360] but during training process my data shape transform the [121,121,191].
How to hold my data shape during the training process and test process.
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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.