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I'm testing a small data set (training on 10 CT liver segmentations, testing on 4), but I get WAY better results when I replace dropout with batch norm in the standard_unit(). May be data size dependent, but worth noting.
The text was updated successfully, but these errors were encountered:
@wl202305 : We have updated the README. You can use 'BRATS2013_application.py' to run the code, also, you can use our code examples for your own data. Thanks!
I'm testing a small data set (training on 10 CT liver segmentations, testing on 4), but I get WAY better results when I replace dropout with batch norm in the standard_unit(). May be data size dependent, but worth noting.
The text was updated successfully, but these errors were encountered: