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HiLab-git
About URPC Training On Brats2019
Hi,
Good work and thanks for the scripts, it's good to use.
I've trained a URPC model on brats2019 dataset by using this script in train_brats2019_semi_seg.sh :
python -u train_uncertainty_rectified_pyramid_consistency_3D.py --labeled_num 25 --total_num 250 --root_path ../data/BraTS2019 --max_iterations 30000 --base_lr 0.1 --exp BraTS2019/Uncertainty_Rectified_Pyramid_Consistency
but the result is poor:
The dice_score is 0.41 not like what the paper says (about 0.8).
While it's OK on ACDC dataset (the dice_score is high enough and hd95 is low enough).
Is anything wrong?
Hi, So strange, I ran the experiment again, and there were some differences in results, but the differences were minor (<1%). But your results are too different, and I also don't know why :|). Best, Xiangde.
Hi, So strange, I ran the experiment again, and there were some differences in results, but the differences were minor (<1%). But your results are too different, and I also don't know why :|). Best, Xiangde.
Thanks for response. Did you also run the same script? Maybe there are some differences about parameters in train file (I've done nothing on it since I downloaded them)? Could you share them with me? I'll be appreciated.
It seems that the num_classes parameter has been set to wrong number. Setting it to 2 can solve the problem. Thanks for the supports anyway.