https://arxiv.org/abs/1701.06643
Authors: Sergey Korolev, Amir Safiullin, Mikhail Belyaev, Yulia Dodonova
Scripts for training without Docker image are located in scripts folder
Install Docker https://docs.docker.com/engine/installation/
Install nvidia-docker https://github.com/NVIDIA/nvidia-docker/wiki/Installation
Clone:
git clone https://github.com/neuro-ml/resnet_cnn_mri.git
cd resnet_cnn_mriBuild:
[sudo] docker build -t dl_isbi:repr -f Dockerfile .Run container:
[sudo] nvidia-docker run -it -p 8809:8888 -v ~/absolute/path/to_data:/scripts/data/ dl_isbi:repr bash
where ~/absolute/path/to_data is absolute path on your local machine to folder with adni data.
Run notebook inside the container:
jupyter notebookOpen http://localhost:8809 on your local machine.
Place all the .nii files and metadata.csv inside ~/absolute/path/to_data (on your local machine).
metadata.csv should have Label and Path columns for file retrieval and class labels (you can find sample /scripts/data/metadata.csv).
Path value shoult be data/some/path/to_scan.nii
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