/ Machine Learning

A software platform to perform image analysis and predictive modeling tasks

A software platform to perform image analysis and predictive modeling tasks

CaPTk

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 more details, please visit us at https://www.cbica.upenn.edu/captk

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

For issues, please visit https://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).

GitHub