Thank you very much for your research, it has helped me a lot! And,I have some questions I'd like to ask you.
1、The code doesn't seem to find the output dice score for each category, I'm using the FeTA dataset. But the scores for each category are given in the paper. Could you please provide this part of the code? Thank you very much.
2、May I ask why you didn't use 50% cross verification? FeTA doesn't have much data. Because nnUNetV2 has 50 percent cross-validation, this will prove the advantages of your model in comparison.
I really hope to get your reply. I have been following your work recently, thank you very much!!
Thank you very much for your research, it has helped me a lot! And,I have some questions I'd like to ask you.
1、The code doesn't seem to find the output dice score for each category, I'm using the FeTA dataset. But the scores for each category are given in the paper. Could you please provide this part of the code? Thank you very much.
2、May I ask why you didn't use 50% cross verification? FeTA doesn't have much data. Because nnUNetV2 has 50 percent cross-validation, this will prove the advantages of your model in comparison.
I really hope to get your reply. I have been following your work recently, thank you very much!!