Cardiac landmark detection pipeline
421
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
almost 10 years ago
docker pull biomedia/landmark_detection