med-imagetools
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Transparent and reproducible medical image processing pipelines in Python.
Added code to `datagraph.py` to create edge_type 7 (SEG -> CT) and added support to query them. Currently working on allowing SEGs to be converted to NIFTIs. Needs manual testing...
Handling added for uppercase and lowercase .dcm or .Dcm files in crawl function. Fixed database_list to database_dict conversion to merge dictionaries with the same key (patient ID) so all information...
clearer autopipeline example
Test robustness with multiple datasets.
Running ```autopipeline /Users/katyscott/Documents/SARC021/images/ /Users/katyscott/Documents/SARC021/med-imageout/ --n_jobs 1 --update --overwrite``` doesn't find all of the CT and RTSTRUCT files in the images directory. My images directory contains four directories total - one...
To-do - Write documentation for H4H Public/Processed/Internal_Datasets management - Integrate docstring into official repo docs - [CARYN] QC checks to output FAILURE - assert image.shape == theoretical_shape - ex) assert...
- does contour fall within image bounds? - other TCIA QC check
assert image.shape == theoretical_shape - ex) assert spacing = image.GetSpacing() - ex) spacing = 1, 1, 2 -> orig_img.shape / spacing = image.GetSpacing()