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Suggestion: replace dropout with batch norm #2

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tybrad11 opened this issue Sep 17, 2018 · 3 comments
Closed

Suggestion: replace dropout with batch norm #2

tybrad11 opened this issue Sep 17, 2018 · 3 comments

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@tybrad11
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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.

@wl202305
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hello,now,i am look this project.because i am a beginner.can you tell
me the 'main' file of this project?thank you very much.my email:wl202305@126.com

@MrGiovanni
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@tybrad11 : Thanks for your suggestions! We have updated the backbones to various famous architectures in computer vision (see our README).

@MrGiovanni
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@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!

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4 participants