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Hi,
I am using this code for brain tumor segmention(BRATS dataset),and the result is not satisfying.In another issue you mentioned the data you uesd,i'm wondering if you can share the data so i can have a try.
Thanks
The text was updated successfully, but these errors were encountered:
You may need to adjust the config.json for image patch size (for head data, i recommend to be around 25625632 with a 11GB GPU)
Also preprocessing pipeline need to be adjusted with different normalization methods, for LITS dataset you may try manual normalization with HU value [0,300], this is call soft tissue window and better visualizing specific tissues for both human and the machine
Several factors like decay rate, initial learning rate would also affect final result
Hi,
I am using this code for brain tumor segmention(BRATS dataset),and the result is not satisfying.In another issue you mentioned the data you uesd,i'm wondering if you can share the data so i can have a try.
Thanks
The text was updated successfully, but these errors were encountered: