brainchop
In-browser deep learning for volumetric neuroimaging
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Sergey Plis

brainchop - In-browser deep learning for volumetric neuroimaging

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Brainchop is a client-side web-application for automatic segmentation of MRI volumes that brings automatic volumetric segmentation capability to neuroimaging by running a robustly pre-trained deep learning model in the client's browser.

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Sergey Plis
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We created the app to simplify access to quality tools for neuroimaging researchers while preserving the privacy of the data they work with. The app does not require technical sophistication from the user and is designed for locally and privately segmenting user’s T1 volumes. Results of the segmentation may be easily saved locally after the computation. An intuitive interactive interface that does not require any special training nor specific instruction to run enables access to a state of the art deep learning brain segmentation for anyone with a modern browser (e.g. Firefox, Chrome etc) and commonly available hardware. Additionally, we make implementation of brainchop.org freely available releasing its pure Javascript code as open-source. https://github.com/neuroneural/b...