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Title:

Automated claustrum segmentation in human brain MRI using deep learning.

Document type:
Journal Article
Author(s):
Li, Hongwei; Menegaux, Aurore; Schmitz-Koep, Benita; Neubauer, Antonia; Bäuerlein, Felix J B; Shit, Suprosanna; Sorg, Christian; Menze, Bjoern; Hedderich, Dennis
Abstract:
In the last two decades, neuroscience has produced intriguing evidence for a central role of the claustrum in mammalian forebrain structure and function. However, relatively few in vivo studies of the claustrum exist in humans. A reason for this may be the delicate and sheet-like structure of the claustrum lying between the insular cortex and the putamen, which makes it not amenable to conventional segmentation methods. Recently, Deep Learning (DL) based approaches have been successfully introdu...     »
Journal title abbreviation:
Hum Brain Mapp
Year:
2021
Journal volume:
42
Journal issue:
18
Pages contribution:
5862-5872
Fulltext / DOI:
doi:10.1002/hbm.25655
Pubmed ID:
http://view.ncbi.nlm.nih.gov/pubmed/34520080
Print-ISSN:
1065-9471
TUM Institution:
Fachgebiet Neuroradiologie (Prof. Zimmer); Klinik und Poliklinik für Psychiatrie und Psychotherapie
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