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TractLearn: a geodesic learning framework for quantitative analysis of brain bundles

2020-05-29

Abstract excerpt

<h4>ABSTRACT</h4> Deep learning-based convolutional neural networks have recently proved their efficiency in providing fast segmentation of major brain fascicles structures, based on diffusion-weighted imaging. The quantitative analysis of brain fascicles then relies on metrics either coming from the tractography process itself or from each voxel along the bundle. Statistical detection of abnormal voxels in the co...

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Literature Corpus work
937aa9de-50ee-504d-8808-4d1bb8ddf3ef
DOI
10.1101/2020.05.27.20113027
Open publication

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TractLearn: a geodesic learning framework for quantitative analysis of brain bundlesDOI 10.1101/2020.05.27.20113027
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