Skip to main content

Simulation toolkit for X-ray based cancer imaging

Project description

XCIST (X-ray-based Cancer Imaging Simulation Toolkit)

The X-ray-based cancer imaging simulation toolkit (XCIST) project is supported by the National Cancer Institute of the National Institutes of Health under Award Number U01CA231860 (ITCR grant).

This toolkit includes software developed by Members of the Geant4 Collaboration ( http://cern.ch/geant4 ). Specifically it builds on the X-ray attenuation cross-sections produced by Geant4.

For more information such as installation, examples, please visit: https://github.com/xcist/documentation/wiki

Please consider citing our paper if this package is useful to your research/work: https://iopscience.iop.org/article/10.1088/1361-6560/ac9174

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

gecatsim-1.1.0.tar.gz (12.2 MB view details)

Uploaded Source

Built Distribution

gecatsim-1.1.0-py3-none-any.whl (12.9 MB view details)

Uploaded Python 3

File details

Details for the file gecatsim-1.1.0.tar.gz.

File metadata

  • Download URL: gecatsim-1.1.0.tar.gz
  • Upload date:
  • Size: 12.2 MB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/4.0.2 CPython/3.9.17

File hashes

Hashes for gecatsim-1.1.0.tar.gz
Algorithm Hash digest
SHA256 59eb6dba105c21784edd2b668b20edec4b8f24dd9753a1f85874c986508b7706
MD5 862f9c10d5c33e5bfb8bb67ebdafc6a9
BLAKE2b-256 b91c707926e7fd48cee11150ee689485e9a510d59276ff5884fb987d0c02f3df

See more details on using hashes here.

File details

Details for the file gecatsim-1.1.0-py3-none-any.whl.

File metadata

  • Download URL: gecatsim-1.1.0-py3-none-any.whl
  • Upload date:
  • Size: 12.9 MB
  • Tags: Python 3
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/4.0.2 CPython/3.9.17

File hashes

Hashes for gecatsim-1.1.0-py3-none-any.whl
Algorithm Hash digest
SHA256 117742af6eabf6a40634ab85ac5857cad156af8324b2527da8cc340db36f923c
MD5 776da1b116d4471834affa7ad98edbef
BLAKE2b-256 d57b843b808e1aceadf167a34c4d3bef71695109dda48676336ad20943734f88

See more details on using hashes here.

Supported by

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