Assistive tool to improve the quality control workflow of neuroimaging data.
Project description
VisualQC : Assistive tool to ease the quality control workflow of neuroimaging data
Note: VisualQC employs release early and release often mechanism to seek user feedback and for thorough testing. Hence you might find some rough edges in docs or examples - please let us know if you do.
Documentation: https://raamana.github.io/visualqc
Free software: Apache 2.0 license
Pure python package (no licensing issues ala matlab, easy to install and update requiring no other external installations or maintenance)
Generic design for API that can be adapted for other domains, imaging or medical or otherwise.
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History
0.3 (2018-04-02)
Major update with multiple new use cases:
0.1 (2018-02-08)
Early access release on PyPI/github.
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