Metadata-Version: 2.1
Name: dicom-to-cnn
Version: 0.24
Summary: Python Library to handle Input / Output conversion in Dicom <=> Convolutional Neural Network 
Home-page: https://github.com/wendyrvllr/Dicom-To-CNN
Author: 
License: UNKNOWN
Download-URL: https://github.com/wendyrvllr/Dicom-To-CNN/archive/24.tar.gz
Description: # library-DICOM
        
        Features : 
        - Description of Series content in a huge dataset of DICOM (output JSON descriptor for each series containings main DICOM tags).
        - Conversion Dicom to Nifti
        - PET : Conversion Bqml/Counts to SUV and SUL
        
        Roadmap : 
        - Read RTSS to generate Mask
        - Generate RTSS from Mask
        - PT / CT fusion in 4D array np array
        
        #Maintainer  : Salim Kanoun
        #Contributors : Thomas Trouillard, Wendy Revailler
        
        
        
        To refactor : 
        - conversion of a nifti mask to a ROI in a DICOM RTSTRUCT
        - ROI integration to an existing RTSTRUCT
        - generation empty RTSTRUCT from PET,CT or similar set of DICOM images
        
        **TODO :** 
        - conversion DICOM RTSTRUCT to mask in nifti format
        
Platform: UNKNOWN
Classifier: Programming Language :: Python :: 3.7
Classifier: Programming Language :: Python :: 3.8
Classifier: License :: OSI Approved :: GNU Affero General Public License v3 or later (AGPLv3+)
Classifier: Operating System :: OS Independent
Requires-Python: >=3.7
Description-Content-Type: text/markdown
