Skip to main content
Python Software Foundation 20th Year Anniversary Fundraiser  Donate today!

scikit-surgeryimage implements image processing tools and alogrithms for Image Guided Surgery.

Project description


GitHub Actions CI status Test coverage Documentation Status

scikit-surgeryimage is a python only project to implement image processing algorithms that are useful for image-guided surgery.

scikit-surgeryimage was developed at the Wellcome EPSRC Centre for Interventional and Surgical Sciences in University College London (UCL).


requirements.txt specifies a dependency on opencv-contrib-python, so you can use any OpenCV python therein. In addition, this project provides:


You can pip install directly from the repository as follows:

pip install scikit-surgeryimage


You can clone the repository using the following command:

git clone

Running the tests

You can run the unit tests by installing and running tox:

pip install tox

Encountering Problems?

Please check list of common issues.


Please see the contributing guidelines.


Supported by Wellcome and EPSRC.

Project details

Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Files for scikit-surgeryimage, version 0.8.6
Filename, size File type Python version Upload date Hashes
Filename, size scikit-surgeryimage-0.8.6.tar.gz (46.5 kB) File type Source Python version None Upload date Hashes View

Supported by

AWS AWS Cloud computing Datadog Datadog Monitoring DigiCert DigiCert EV certificate Facebook / Instagram Facebook / Instagram PSF Sponsor Fastly Fastly CDN Google Google Object Storage and Download Analytics Microsoft Microsoft PSF Sponsor Pingdom Pingdom Monitoring Salesforce Salesforce PSF Sponsor Sentry Sentry Error logging StatusPage StatusPage Status page