Classification of Multiple Sclerosis Clinical Profiles via Graph Convolutional Neural Networks

Classification of Multiple Sclerosis Clinical Profiles via Graph Convolutional Neural Networks

Recent advances in image acquisition and processing techniques, along with the success of novel deep learning architectures, have given the opportunity to develop innovative algorithms capable to provide a better characterization of neurological related diseases. In this work, we introduce a neural...

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Bibliographic Details
Main Authors: Aldo Marzullo, Gabriel Kocevar, Claudio Stamile, Françoise Durand-Dubief, Giorgio Terracina, Francesco Calimeri, Dominique Sappey-Marinier
Format: Article
Language:English
Published: Frontiers Media S.A. 2019-06-01
Series:Frontiers in Neuroscience
Subjects:
multiple sclerosis
graph neural networks
graph-derived metrics
diffusion tensor imaging
connectome
Online Access:https://www.frontiersin.org/article/10.3389/fnins.2019.00594/full

Internet

https://www.frontiersin.org/article/10.3389/fnins.2019.00594/full

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