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Convolutional neural network MRI segmentation for fast and robust optimization of transcranial electrical current stimulation of the human brain

2020-01-29

Abstract excerpt

The segmentation of structural MRI data is an essential step for deriving geometrical information about brain tissues. One important application is in transcranial electrical stimulation (e.g., tDCS), a non-invasive neuromodulatory technique where head modeling is required to determine the electric field (E-field) generated in the cortex to predict and optimize its effects. Here we propose a deep learning-based mo...

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Literature Corpus work
178725cb-2ccc-5ed2-a517-f151bade40e0
DOI
10.1101/2020.01.29.924985
Open publication

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Convolutional neural network MRI segmentation for fast and robust optimization of transcranial electrical current stimulation of the human brainDOI 10.1101/2020.01.29.924985
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