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I am using MNet to train the REFUGE dataset and test it on the REFUGE validation dataset, and I found that my Dice is only 0.89, but the result using the model you pre_trained is 0.93. I'd be grateful if you could provide details about REFUGE training. Including the number of training pictures, learning rate, etc.
The text was updated successfully, but these errors were encountered:
I am using MNet to train the REFUGE dataset and test it on the REFUGE validation dataset, and I found that my Dice is only 0.89, but the result using the model you pre_trained is 0.93. I'd be grateful if you could provide details about REFUGE training. Including the number of training pictures, learning rate, etc.
The text was updated successfully, but these errors were encountered: