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Cancer Imaging Phenomics Toolkit (CaPTk) is a software platform to perform image analysis and predictive modeling tasks. Documentation:https://cbica.github.io/CaPTk

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CBICA/CaPTk

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CaPTk is a software platform, written in C++, for analysis of radiographic images of cancer, currently focusing on brain, breast, and lung cancer. CaPTk integrates advanced, validated tools performing various aspects of medical image analysis, that have been developed in the context of active clinical research studies and collaborations toward addressing real clinical needs. With emphasis given in its use as a very lightweight and efficient viewer, and with no prerequisites for substantial computational background, CaPTk aims to facilitate the swift translation of advanced computational algorithms into routine clinical quantification, analysis, decision making, and reporting workflow.

Its long-term goal is to provide widely used technology that leverages the value of advanced imaging analytics in cancer prediction, diagnosis, and prognosis, as well as in better understanding the biological mechanisms of cancer development.

CaPTk is developed and maintained by theCenter for Biomedical Image Computing and Analytics (CBICA) at the University of Pennsylvania.

For a full list of applications and functionalities, please seehttps://cbica.github.io/CaPTk/How_To_Guides.html

For more details, please visit us athttps://www.cbica.upenn.edu/captk

For project documentation and how-to guides, please visithttps://cbica.github.io/CaPTk/

For issues, please visithttps://github.com/cbica/captk/issues

Supporting Grant

This work is in part supported by the grant U24-CA189523, awarded by the National Institutes of Health / National Cancer Institute / Informatics Technology for Cancer Research (NIH/NCI/ITCR).

Disclaimer

  • The software has been designed for research purposes only and has neither been reviewed nor approved for clinical use by the Food and Drug Administration (FDA) or by any other federal/state agency.
  • This code (excluding dependent libraries) is governed by the license provided inhttps://www.med.upenn.edu/cbica/software-agreement.html unless otherwise specified.

Downloads

By downloading CaPTk, you agree to ourLicense. You can review Installation Instructionshere.

Latest Stable (1.9.0)

Platform (x64)Link
Windowshttps://www.nitrc.org/frs/downloadlink.php/12727
Linuxhttps://www.nitrc.org/frs/downloadlink.php/12726

Development Builds

These are UNTESTED development builds from the latest master. Use at your own risk.

Platform (x64)Link
Windowshttps://www.nitrc.org/frs/downloadlink.php/11516
Linuxhttps://www.nitrc.org/frs/downloadlink.php/11517
Linux (CentOS7)https://www.nitrc.org/frs/downloadlink.php/11613
macOShttps://www.nitrc.org/frs/downloadlink.php/11518

Contact

For more information or any support, please post on theDiscussions section or contactCBICA Software.

GitHub Distribution

We currently provide only our tagged versions of the code via GitHub. Check the "tags" using your favorite Git client after cloning our repository. The analogous commands are as follows:

git clone https://github.com/cbica/captk.gitlatesttag=$(git describe --tags)echo checking out${latesttag}git checkout${latesttag}

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