GitHub / brianmanderson / Dicom_RT_and_Images_to_Mask
Tools to help with the conversion of DICOM images, RT Structures, and dose to useful Python objects. Essentially DICOM to NumPy and SimpleITK Images
JSON API: http://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/brianmanderson%2FDicom_RT_and_Images_to_Mask
PURL: pkg:github/brianmanderson/Dicom_RT_and_Images_to_Mask
Stars: 101
Forks: 30
Open issues: 0
License: gpl-3.0
Language: Python
Size: 73.9 MB
Dependencies parsed at:
23
Created at: over 6 years ago
Updated at: about 1 month ago
Pushed at: 9 months ago
Last synced at: 5 days ago
Commit Stats
Commits: 458
Authors: 11
Mean commits per author: 41.64
Development Distribution Score: 0.266
More commit stats: https://commits.ecosyste.ms/hosts/GitHub/repositories/brianmanderson/Dicom_RT_and_Images_to_Mask
Topics: binary-masks, deep-learning, deeplearning, dicom, dicom-images, dicomrt, mask, medical-image-processing, medical-imaging, nifti-images, numpy, python, roi, roi-segmentation, rt-struct, rt-structs, rt-utils, rtstruct
- Pillow *
- SimpleITK *
- check-manifest *
- matplotlib *
- numpy *
- opencv-python >=4.2.0.32
- openpyxl *
- pandas *
- pydicom *
- scikit-image *
- scipy *
- six *
- tqdm *
- xlrd *
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