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CaPTk: Cancer Imaging Phenomics Toolkit

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 the Center for Biomedical Image Computing and Analytics (CBICA) at the University of Pennsylvania.

For a full list of applications and functionalities, please see

For more details, please visit us at

For project documentation and how-to guides, please visit

For issues, please visit

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).


  • 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 in unless otherwise specified.


By downloading CaPTk, you agree to our License. You can review Installation Instructions here.

Latest Stable (1.9.0)

Platform (x64) Link

Development Builds

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

Platform (x64) Link
Linux (CentOS7)

Frequently Asked Questions (FAQ)


For more information or any support, please post on the Discussions section or contact CBICA 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
latesttag=$(git describe --tags)
echo checking out ${latesttag}
git checkout ${latesttag}