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Thank you very much for sharing. Can you tell me in detail the directory structure of your dataset? Because when I run make_hdf5_BraTS.sh, I get an error: FileNotFoundError: [Errno 2] No such file or …
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**Describe the bug**
While trying the [Quick Start Guide](https://openfl.readthedocs.io/en/latest/get_started/quickstart.html#creating-a-federation-in-5-steps) for model **tf_2dunet**, the plan initi…
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Hello, thank you very much for your wonderful work! But I encountered a problem while processing the BraTS dataset. The required size is 176*176*160, but the actual downloaded size is 240*240*155. Can…
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**Describe the bug**
I am trying to reproduce the Swin UNETR. I am doing finetuning, using the code and model.pt file given at:
https://github.com/Project-MONAI/research-contributions/tree/main/Sw…
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in your brats 2022 notebook you report that you trained 5 models for 150 epochs and averaged their predictions
can i know what was the range of Val loss and train loss at the end of each fold?
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### UNN_BraTS23/scripts/data_class.py
**lines: 41-69**
Should this section not account for when mask does not exist?
_see code change suggestion in docstring at end_
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I see ur paper, and wanna know if the code is for 15th or 17th data?( I found the website say "The data provided during BraTS'17 differs significantly from the data provided during the previous BraTS …
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I found your work helpful. I really appreciate for your contribution.
I have a question about the evaluation.
In the `nnunet_2d`, did you directly use Dice scores in the `summary.json`(provided auto…
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* Name of dataset: Brain Tumor Segmentation Data
* URL of dataset: [https://ieee-dataport.org/competitions/brats-miccai-brain-tumor-dataset]
* Citation: [1] B. H. Menze, A. Jakab, S. Bauer, J. Kalpa…
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Hello, I have gone through your paper 'End-to-End Cascade Network for 3D Brain Tumor Segmentation in MICCAI 2018 BraTS Challenge'. As you claimed focal loss implementation in the architecture, can you…