Multi-Modal Segmentation of 3D Brain Scans Using Neural Networks

Multi-Modal Segmentation of 3D Brain Scans Using Neural Networks

Anatomical segmentation of brain scans is highly relevant for diagnostics and neuroradiology research. Conventionally, segmentation is performed on T1-weighted MRI scans, due to the strong soft-tissue contrast. In this work, we report on a comparative study of automated, learning-based brain segment...

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Bibliographic Details
Main Authors:	Jonathan Zopes, Moritz Platscher, Silvio Paganucci, Christian Federau
Format:	Article
Language:	English
Published:	Frontiers Media S.A. 2021-07-01
Series:	Frontiers in Neurology
Subjects:	brain imaging (CT and MRI) anatomical segmentation multi-modal convolutional neural networks dropout sampling
Online Access:	https://www.frontiersin.org/articles/10.3389/fneur.2021.653375/full

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