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Questions about your Paper #32

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joe1chief opened this issue Sep 19, 2019 · 1 comment
Open

Questions about your Paper #32

joe1chief opened this issue Sep 19, 2019 · 1 comment

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@joe1chief
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I am trying to reproduce your method in BraTs 2017 Challenge. Can you answer me some questions about it?

As you described “ Our network architecture is trained with randomly sampled patches of size 128x128x128 voxels and batch size 2."  Did you use Center Crop to sampling? 

And the following "We refer to an epoch as an iteration over 100 batches and train for a total of 300 epochs."  Is that means an epoch in your experiment contained 100 iterations and each iteration is a new sampling on the different images? 

@FabianIsensee
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Hi,
if you look in the code you will find the answers :-)
We used random crop for the patches.
And yes for each batch we sample random patches from random images.
There is no real definition of an epoch in patch based training, so I decided to go all random. Works pretty well.
Best,
Fabian

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