Skip to main content

Analyze IMRT QA Report data mined with IQDM-PDF

Project description

PyPI lgtm lgtm code quality Lines of code Repo Size Code style: black

What does it do?

IMRT QA data mining with IQDM-PDF and statistical analysis using DVHA-Stats.

Other information

This library is part of the IMRT QA Data Mining (IQDM) project for the AAPM IMRT Working Group (WGIMRT).

Dependencies

Install

$ pip install git+https://github.com/IQDM/IQDM-Analytics.git

Run

$ iqdma

TODO

  • Date handling (May be a DVHA-Stats issue?)

  • Test on output from reports other than SNCPatient2020

  • Ability to cancel PDF-Miner thread

  • Documentation

  • Docstrings

  • PyInstaller

  • Update License

Credits

Development Lead

  • Dan Cutright

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

iqdma-0.1.1.tar.gz (659.8 kB view details)

Uploaded Source

Built Distribution

If you're not sure about the file name format, learn more about wheel file names.

iqdma-0.1.1-py3-none-any.whl (664.1 kB view details)

Uploaded Python 3

File details

Details for the file iqdma-0.1.1.tar.gz.

File metadata

  • Download URL: iqdma-0.1.1.tar.gz
  • Upload date:
  • Size: 659.8 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/3.3.0 pkginfo/1.7.0 requests/2.25.1 setuptools/54.1.0 requests-toolbelt/0.9.1 tqdm/4.59.0 CPython/3.6.8

File hashes

Hashes for iqdma-0.1.1.tar.gz
Algorithm Hash digest
SHA256 afd32303fe609800071df92c9c681ab1453cd3639c3e31f0d2990d4e9a027701
MD5 7d2e7b328f330971058fb8aa1764abe5
BLAKE2b-256 1f7e195618096ac6852a62cd78acd073041dc17dda3c11bc682f0f5a11096477

See more details on using hashes here.

File details

Details for the file iqdma-0.1.1-py3-none-any.whl.

File metadata

  • Download URL: iqdma-0.1.1-py3-none-any.whl
  • Upload date:
  • Size: 664.1 kB
  • Tags: Python 3
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/3.3.0 pkginfo/1.7.0 requests/2.25.1 setuptools/54.1.0 requests-toolbelt/0.9.1 tqdm/4.59.0 CPython/3.6.8

File hashes

Hashes for iqdma-0.1.1-py3-none-any.whl
Algorithm Hash digest
SHA256 3df4c178da4ab2b427ffa7475a9c022a6ebde6df2035c920681263cd342a54ed
MD5 40baeed579c3583e40c92b5df85b577c
BLAKE2b-256 f5c221d6999d8081076c6495c234cdb0c035195b354bd02f04ebd7836acb47e7

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