Skip to content
New issue

Have a question about this project? Sign up for a free GitHub account to open an issue and contact its maintainers and the community.

By clicking “Sign up for GitHub”, you agree to our terms of service and privacy statement. We’ll occasionally send you account related emails.

Already on GitHub? Sign in to your account

Add parallel batch processing example #305

Merged
merged 1 commit into from Oct 9, 2017

Conversation

JoostJM
Copy link
Collaborator

@JoostJM JoostJM commented Oct 6, 2017

Add an example of how to extract features using parallel threading (1 thread per case). Assumes similar input and produces similar output as batchprocessing.py, with the addition of two additional predifined, but optional, columns; "Patient" and "Reader".

Fixes #282
cc @Radiomics/developers

Add an example of how to extract features using parallel threading (1 thread per case). Assumes similar input and produces similar output as `batchprocessing.py`, with the addition of two additional predifined, but optional, columns; "Patient" and "Reader".
@JoostJM JoostJM merged commit a746c31 into AIM-Harvard:master Oct 9, 2017
@JoostJM JoostJM deleted the add-parallel-processing branch October 9, 2017 15:02
@JoostJM JoostJM added this to Implemented in PyRadiomics Performance Feb 20, 2018
Sign up for free to join this conversation on GitHub. Already have an account? Sign in to comment
Projects
PyRadiomics Performance
  
Implemented
Development

Successfully merging this pull request may close these issues.

None yet

1 participant