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SciKit-Surgery Tutorial02 provides a tutorial on how to implement a simple algorithm using the SciKit-Surgery project's Python Template

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SciKit-Surgery Tutorial on Software Development for Clinical Translation

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Documentation Status The SciKit-Surgery paper Finalist in 2019 MICCAI Educational Challenge Follow scikit_surgery on twitter

Author(s): Miguel Xochicale and Stephen Thompson Contributor(s): Sujon Hakim, Mian Asbat Ahmad, Thomas Dowrick and Matt Clarkson

This is the SciKit-Surgery Tutorial on Software Development for Clinical Translation. It is targeted at researchers working in medical imaging and computer aided interventions, who want to maximise the impact of their work by publishing robust and reusable code. The tutorial will guide the user through using the SciKit-Surgery Python template to create a well written and reusable algorithm library.

The SciKit-Surgery Tutorial on Software Development for Clinical Translation is part of the SciKit-Surgery software project, developed at the Wellcome EPSRC Centre for Interventional and Surgical Sciences, part of University College London (UCL).

This SciKit-Surgery Tutorial is tested on Python 3.8. and may support other Python versions.

Contributing

Please see the contributing guidelines.

Useful links

Licensing and copyright

Copyright 2019 University College London. SciKit-SurgeryTutorial02 is released under the BSD-3 license. Please see the license file for details.

Acknowledgements

Supported by Wellcome and EPSRC.