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Dear @himashi92
After running test experiments, I only found segmentation mask under segs folder. I would like to know how to get the dice scores of each tumor class as presented in this paper. Pl…
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I used the default parameters in the nnUNetv2 model on the Brats22 dataset, but I found it to be ineffective even after training for 500 epochs. I believe the issue lies with the parameters. When part…
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Sir, so sorry to bother you again. When I tried to run the code with the data example in data directory, there was problem in dataset.py, line 28, "img_t1 = img_t1[40:200, 20:200, :]". I print the sha…
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**Amazing tool: Just a question: I[m using four MRI modalities for GBM cases. Can you help me out to figure out how I can set up the model to get tumor sub-compartments (necrotic core, enhancing tumor…
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Hello, your work is so great!!
i ve already got the results on brats2020,now iam work on my own datasets,but my dataset only have 1 modality (t1),i want to know where can i change the input channel f…
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This is an issue to keep track of changes and requirements that must be met in order to make Medperf part of the BraTS Challenge.
Competitors (Model Owners) must be able to:
- [x] have/create thei…
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### Description
ITK's new non-uniform "sampling" detection (actually, slice spacing) is so sensitive that it is useless. It also generates so many warnings that it floods the log and slows down DIC…
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I encountered a problem in the multimodal splitting part of data preprocessing. How can I fuse the 4 modal data (t1, t2, t1ce, flair) in the Brats dataset and make a json file so that each modal data …
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Dear JDSobek,
First, I want to say thanks for the help for my data processing.
I am running MedYOLO now, maybe there is something wrong with it. I have run 50 epoch. But I see the P, R and …
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everything was good till I start training. Could anyone pls help me in this regard?
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I am running the following nnUNet: 3d_fullres
My trainer class i…