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U-Net models for prostate cancer segmentation based on Gleason pattern.

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endaaman/prostate

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Usage

Entrypoints are train.py are infer.py. Please check options for example by python train.py -h.

Env

export env

$ conda env export | grep -v "^prefix: " > ./environment.yml

update env

$ conda env update

create env

$ conda env create --name prostate --file ./environment.yml

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U-Net models for prostate cancer segmentation based on Gleason pattern.

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