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Candace Makeda Moore, MD edited this page Apr 21, 2021 · 27 revisions

Welcome to the cleanX wiki!

cleanX is a Python library that is meant to help people do data cleaning of large sets of radiology X-rays. The library began in April 2021. Forthcoming versions will include more functions for realistic augmentation among other things.

The library hopes to help overcome certain misunderstandings between medical professionals and engineers. For example, engineers often do not understand that you can not augment medical images in certain ways, as you would the image of a cat, without the resulting image taking on a different clinical meaning. On the other hand, many medical professionals lack coding skills. While using the library obviously requires code, it turns some complex code maneuvers into single functions, or in the lingo 'high-level APIs.'

Documentation is partly finished but improving.

If you have ideas or comments on the library you can open a ticket and/or email ([email protected]).

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