Are there detailed results that I could read?

Hi there,
I would really like to read some additional details about nnU-Net and models genesis. So far you seem to have taken the first place in Task03, but it is difficult so see whether that is a significant result (given that I am getting some variation when running the same training several times which will also translate into different test set performances). Overall, your submission on the Decathlon is below ours, indicating that the pretraining may not be beneficial on all tasks. This makes is difficult to really estimate the impact of your pre-training strategy.

Specifically, I would be interested in how much your pretrained models help in semi-supervised learning. Say you take all non-LiTS/Task03 (Task03 is essentially LiTS) datasets with livers in them (BCV Abdomen, KiTS, Pancreas (?), ...) and run models genesis on them for pretraining, how well does your pretrained nnU-Net perform when fine tuned on 10, 20, 50 etc LiTS cases for the LiTS task? Can you beat the nnU-Net baseline by a significant margin if you use all these additional datasets for pretraining?

Best,
Fabian

No files, tests, or entry points are named. Start by reviewing the requested comparisons between Models Genesis pretraining and nnU-Net across the listed datasets and LiTS case counts; the work is done when the requested detailed results and significance comparisons are published.