the validation data segmentation result about brats17

[1160914483]

I used the original configuration file and the corresponding parameters, but the score on the verification set was (0.75315 0.90392 0.80955).
I'd like to ask the same question.

[taigw]

The pre-trained models released here are not exactly the ones I used in the paper. To release the repository, I re-organized the code to make it clearer to understand, then I re-trained the model. However, the re-training was implemented on another GPU with 6GB memory so I reduced the batch size. This caused a performance decrease.

[Qingyuncookie]

@taigw Thank you for your reply! When I trained the model, I set the batch_size to 3 and keep all other options unchanged in the configure files. And the result I got is (0.7376, 0.8997, 0.7912) after 20000 iterations, it's still lower than the result tested by the pre-trained model you gave, I don't know why the model I trained can't reproduce the result of your‘s, is there anything wrong with what I didn't pay attention to?