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An automatic multi-tissue human fetal brain segmentation benchmark using the Fetal Tissue Annotation Dataset

Authors :
Kelly Payette
Priscille de Dumast
Hamza Kebiri
Ivan Ezhov
Johannes C. Paetzold
Suprosanna Shit
Asim Iqbal
Romesa Khan
Raimund Kottke
Patrice Grehten
Hui Ji
Levente Lanczi
Marianna Nagy
Monika Beresova
Thi Dao Nguyen
Giancarlo Natalucci
Theofanis Karayannis
Bjoern Menze
Meritxell Bach Cuadra
Andras Jakab
Source :
Scientific Data, Vol 8, Iss 1, Pp 1-14 (2021)
Publication Year :
2021
Publisher :
Nature Portfolio, 2021.

Abstract

Measurement(s) regional part of brain • T2 (Observed)-Weighted Imaging Technology Type(s) Image Segmentation Sample Characteristic - Organism Homo sapiens Machine-accessible metadata file describing the reported data: https://doi.org/10.6084/m9.figshare.14039327

Subjects

Subjects :
Science

Details

Language :
English
ISSN :
20524463
Volume :
8
Issue :
1
Database :
Directory of Open Access Journals
Journal :
Scientific Data
Publication Type :
Academic Journal
Accession number :
edsdoj.955b4c4a372743dc811da7c038c1a140
Document Type :
article
Full Text :
https://doi.org/10.1038/s41597-021-00946-3