FastSurferVINN: Building resolution-independence into deep learning segmentation methods—A solution for HighRes brain MRI

•FastSurferVINN: whole brain segmentation of 3T MRIs at native 0.7–1.0 mm in

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Bibliographic Details
Published in:NeuroImage (Orlando, Fla.) Fla.), 2022-05, Vol.251, p.118933, Article 118933
Main Authors: Henschel, Leonie, Kügler, David, Reuter, Martin
Format: Article
Language:English
Subjects:
Accuracy
Artificial intelligence
Bias
Brain - diagnostic imaging
Computational neuroimaging
Datasets
Deep Learning
Disease
Explicit knowledge
Genetic diversity
High-resolution
Humans
Image processing
Image Processing, Computer-Assisted - methods
Magnetic resonance imaging
Magnetic Resonance Imaging - methods
Medical imaging
Morphometry
Neural networks
Neuroimaging
Neuroimaging - methods
Scanners
Segmentation
Structural MRI
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Description
Summary:•FastSurferVINN: whole brain segmentation of 3T MRIs at native 0.7–1.0 mm in
ISSN:1053-8119
1095-9572
1095-9572
DOI:10.1016/j.neuroimage.2022.118933