Shape Information Improves the Cross-Cohort Performance of Deep Learning-Based Segmentation of the Hippocampus

Shape Information Improves the Cross-Cohort Performance of Deep Learning-Based Segmentation of the Hippocampus

Performing an accurate segmentation of the hippocampus from brain magnetic resonance images is a crucial task in neuroimaging research, since its structural integrity is strongly related to several neurodegenerative disorders, including Alzheimer’s disease (AD). Some automatic segmentation tools are...

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Bibliographic Details
Main Authors: Irene Brusini, Olof Lindberg, J-Sebastian Muehlboeck, Örjan Smedby, Eric Westman, Chunliang Wang
Format: Article
Language:English
Published: Frontiers Media S.A. 2020-01-01
Series:Frontiers in Neuroscience
Subjects:
hippocampus
brain MRI
Alzheimer’s disease
image segmentation
deep learning
statistical shape model
Online Access:https://www.frontiersin.org/article/10.3389/fnins.2020.00015/full

Internet

https://www.frontiersin.org/article/10.3389/fnins.2020.00015/full

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