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-0.37.tar.gz (39.7 kB view details)

Uploaded Source

File details

Details for the file dicom_to_cnn-0.37.tar.gz.

File metadata

  • Download URL: dicom_to_cnn-0.37.tar.gz
  • Upload date:
  • Size: 39.7 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-0.37.tar.gz
Algorithm Hash digest
SHA256 f435c93bde2549705f8ace06f0716ac6abad018aea7e73890160bdbc52a0275b
MD5 99d8d131e5af9fe1a03a8b3caf421ab9
BLAKE2b-256 96ba5fb0079e885286daff140e53a5f0eee6955980770b0eabffc9b0d0e362aa

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