Cardiac landmark detection pipeline
416
Original author: Ozan Oktay Docker version: Jonathan Passerat-Palmbach
scp -r [email protected]:/homes/jpassera/playground/dummy_data_biobank .# change to downloaded directory
pushd dummy_data_biobank
# retrieve latest image
docker pull biomedia/landmark_detection
# run the pipeline on a single subject (results written back to `pwd`/data)
docker run --rm [volumes mappings] biomedia/landmarkdetection <input_file> <output_dir> <path_to_model> <flip input image: true|false>
# concrete example for subject 1000376
docker run --rm -v `pwd`/data/1000376:/tmp/input_data -v `pwd`/results:/tmp/results -v `pwd`/compModel.mat:/tmp/model.mat biomedia/landmark_detection /tmp/input_data/sa.nii.gz /tmp/results /tmp/model.mat true
Subjects data originating from the UK Biobank project
Methodology paper [1] O. Oktay, W. Bai, M. Rajchl, M. P. Heinrich, B. Glocker, D. Rueckert Stratified Decision Forests for Accurate Anatomical Landmark Localization In IEEE Transactions on Medical Imaging (TMI) 2016.
Content type
Image
Digest
Size
333.2 MB
Last updated
over 9 years ago
docker pull biomedia/landmark_detection