@FabianIsensee Hi, sir. As far as I know the labels in the dataset of brats 2017 are 0,1,2,4. But in the definition of the function hard_dice_per_img_in_batch in the utils.py you use for i in range(n_classes): y_true_i = T.eq(y_true[b], i_val). Since n_classes is 4 i is in [0,1,2,3] which seems to be inconsistent with the true labels. I do not know whether it is that. Thank you!
@FabianIsensee Hi, sir. As far as I know the labels in the dataset of brats 2017 are 0,1,2,4. But in the definition of the function hard_dice_per_img_in_batch in the utils.py you use for i in range(n_classes): y_true_i = T.eq(y_true[b], i_val). Since n_classes is 4 i is in [0,1,2,3] which seems to be inconsistent with the true labels. I do not know whether it is that. Thank you!