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 papers if this package is useful to your research/work. A list of our publications is here: https://github.com/xcist/documentation/wiki/Publications-and-citing

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-1.4.4.tar.gz (13.7 MB view details)

Uploaded Source

Built Distribution

gecatsim-1.4.4-py3-none-any.whl (14.4 MB view details)

Uploaded Python 3

File details

Details for the file gecatsim-1.4.4.tar.gz.

File metadata

  • Download URL: gecatsim-1.4.4.tar.gz
  • Upload date:
  • Size: 13.7 MB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/5.1.1 CPython/3.12.2

File hashes

Hashes for gecatsim-1.4.4.tar.gz
Algorithm Hash digest
SHA256 c2d4bdd3f9f5721f4137d756be33a9f24828729f79c76dd5670b19d325a75e86
MD5 8e9be5352ae1c17707d3c50f65547ba2
BLAKE2b-256 c71f626bfed094554082ec3082e536919ab3d6da59ba31a327ba5afc2026701b

See more details on using hashes here.

File details

Details for the file gecatsim-1.4.4-py3-none-any.whl.

File metadata

  • Download URL: gecatsim-1.4.4-py3-none-any.whl
  • Upload date:
  • Size: 14.4 MB
  • Tags: Python 3
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/5.1.1 CPython/3.12.2

File hashes

Hashes for gecatsim-1.4.4-py3-none-any.whl
Algorithm Hash digest
SHA256 d948a0cc76d2cbd88633fdf539fe645c5f31c85884e8bf28e0721eb3f94182e2
MD5 5525d6e405db62a3b924930283b5b890
BLAKE2b-256 917b48854729a68b65c7ce51f826cc2a59b120cdae6662b8ddc21e0fd97f6c83

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