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Autoencoders for Unsupervised Anomaly Segmentation in Brain MR Images: A Comparative Study

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Autoencoders for Unsupervised Anomaly Segmentation in Brain MR Images: Dockerized launch

Usage

docker build . -t uadbm:local

docker run --rm -v <abspath-to-home>/content/data/Brainweb/lesions/severe:/input -v <abspath-to-home>/man:/output uadbm:local --nii /input/t2_ai_msles2_1mm_pn5_rf40.nii.gz --outdir /output

Test dataset

run this script in container:

from utils.brainweb_download import download_brainweb_dataset
from pathlib import Path

download_brainweb_dataset(
    base_dir=Path('./content/data/Brainweb'),
    name="",
    institution="",
    email=""
)

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Autoencoders for Unsupervised Anomaly Segmentation in Brain MR Images: A Comparative Study

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  • Python 86.7%
  • Jupyter Notebook 13.1%
  • Dockerfile 0.2%