TBraTS
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Cocofeat
【MICCAI 2022】"TBraTS: Trusted Brain Tumor Segmentation"
Hi, thanks for your sharing. I just met a problem when running my code with subjective logic, which is the same as your loss function code, composed of ice loss,...
Hello, we use brats2019 data set, our data set does not have validation labels, do you have any? Is uploaded where to view model accuracy, thanks for reply!
predict
Thank you for your work！ Traceback (most recent call last): File "G:/ TBraTS-main/TBraTS-main/trainTBraTS.py", line 277, in val_loss, best_dice = val(args, epoch, best_dice) File "G:/ TBraTS-main/TBraTS-main/trainTBraTS.py", line 161, in val args.mode)...
When I tried to train my dataset with your given loss function, I found that the loss combination of ice (with kl) and dice doesn't work well. Their conflict leads...
help
I'm sorry to bother you. I saw your question on the GitHub board on Focusnetv2. Have you solved the problem? Can you give me some help?
Epoch 1/198 Traceback (most recent call last): File "G:/ TBraTS-main/TBraTS-main/trainTBraTS.py", line 268, in epoch_loss = train(epoch) File "G:/ TBraTS-main/TBraTS-main/trainTBraTS.py", line 127, in train evidences, evidence_a, loss = model(x,target,epoch,args.mode) ValueError: not...