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A small issue on model training and evaluation

Thank you for your work.

I am curious about a question. For ISIC2018 dataset, why not training the model on the whole training set and evaluating its performance on the test set directly?

the input features of MSB

Hello, your work is very good, but I have a small question. In the paper, the MSB input is the last three layers of resnet34 features, but the code inputs the middle three layers of features (x4, x8, x16)

About the experiment

Hello, I would like to ask whether your experiment (mean ± standard deviation) is The test output result, for example, The ISIC mean dice: 0.9239; The ISIC dice std: 0.1149 As a result? Is it 0.9239+-0.1149?
1

About the development environment

Hello author, I would like to know the development environment of this project, can you provide me with a list of libraries required or the version required by the main python and pytorch versions?
Thank you very much!

About ISIC2016

Hello, the code seems to be for ISIC2018, may I ask how isic2016 is divided? Does it only need to be trained and tested in the main_train section?

loss the document

Hello author, there is no dice_loss_github file under utils folder in your project file.

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