I trained on the LiTS data set, and the Dice Score on the training set can reach 0.9035, but only 0.6898 on the test set. When I visualized the results, I found an interesting thing. The predicted shapes are very similar, but there seems to be some Offset, where might the problem be?
I do not encounter your problem before, it is very interesting. You can check if there are problems about resample or crop non-zero operation in the data loading processing.
I trained on the LiTS data set, and the Dice Score on the training set can reach 0.9035, but only 0.6898 on the test set. When I visualized the results, I found an interesting thing. The predicted shapes are very similar, but there seems to be some Offset, where might the problem be?