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-0.10.tar.gz (32.1 kB view details)

Uploaded Source

File details

Details for the file dicom_to_cnn-0.10.tar.gz.

File metadata

  • Download URL: dicom_to_cnn-0.10.tar.gz
  • Upload date:
  • Size: 32.1 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-0.10.tar.gz
Algorithm Hash digest
SHA256 a7cecb0a3403d7cc9ba39164edcd152f74b5024c5c81c097e1c5f1561710eb1f
MD5 4fd753d4585b58792910ff704f48fb37
BLAKE2b-256 d08fbcddd8e987030d73636ea42041150934b16d5f05ebbc563176373c8b5db7

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