Skip to main content

Python Library to handle Input / Output conversion in Dicom <=> Convolutional Neural Network

Project 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

Project details


Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Source Distribution

dicom_to_cnn-0.52.tar.gz (41.1 kB view details)

Uploaded Source

File details

Details for the file dicom_to_cnn-0.52.tar.gz.

File metadata

  • Download URL: dicom_to_cnn-0.52.tar.gz
  • Upload date:
  • Size: 41.1 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/3.1.1 pkginfo/1.4.2 requests/2.22.0 setuptools/45.2.0 requests-toolbelt/0.8.0 tqdm/4.40.2 CPython/3.8.5

File hashes

Hashes for dicom_to_cnn-0.52.tar.gz
Algorithm Hash digest
SHA256 40eb2d23b0ae24cc4a6ff0f40468bbdfd710d893fc3499575883550d1e65acdf
MD5 9b02babdf2f26b162e1d466cd4e4aaf0
BLAKE2b-256 54c0413b3c9dcef5e3f4a73ecdba1795fa5b37d74115a9c74aad0df9d4c28c70

See more details on using hashes here.

Supported by

AWS Cloud computing and Security Sponsor Datadog Monitoring Depot Continuous Integration Fastly CDN Google Download Analytics Pingdom Monitoring Sentry Error logging StatusPage Status page