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README.md

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# ProjectNeura: SegSTRONG-C
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## Usage
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### Build Docker Image
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```shell
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docker build --no-cache ./ -t segstrongc:projnura
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```
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### Create Docker Container
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```shell
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docker run --ipc=host --rm -v "C:/SharedDatasets/SegSTRONGC_release/SegSTRONGC_nnunet:/workspace/data" --gpus="device=0" -it segstrongc:projnura
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```
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### Transfer Data
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```shell
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python data_transfer.py
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```
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### Set Environment Variables
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```shell
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export nnUNet_raw=/workspace/data/nnUNet_raw
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export nnUNet_preprocessed=/workspace/data/nnUNet_preprocessed
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export nnUNet_results=/workspace/data/nnUNet_weights
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```
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### Preprocess
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```shell
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nnUNetv2_plan_and_preprocess -d 1 --verify_dataset_integrity -pl nnUNetPlannerResEncM
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```
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### Train
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```shell
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nnUNetv2_train 1 2d all -p nnUNetResEncUNetMPlans -device cuda
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```
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### Predict
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```shell
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nnUNetv2_predict -i /workspace/val/smoke_nnunet -o /workspace/val/smoke_predicted -d 1 -c 2d -p nnUNetResEncUNetMPlans -f all --save_probabilities
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nnUNetv2_predict -i /workspace/val/lb_nnunet -o /workspace/val/lb_predicted -d 1 -c 2d -p nnUNetResEncUNetMPlans -f all --save_probabilities
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nnUNetv2_predict -i /workspace/val/blood_nnunet -o /workspace/val/blood_predicted -d 1 -c 2d -p nnUNetResEncUNetMPlans -f all --save_probabilities
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```
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# SegSTRONG-C

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