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  4. Fully automated lesion segmentation using heavily trained 3D convolutional neural networks are equivalent to manual expert segmentations

Fully automated lesion segmentation using heavily trained 3D convolutional neural networks are equivalent to manual expert segmentations

Publikationstyp
Conference Poster not in Proceedings
Date Issued
2019
Sprache
English
Author(s)
Krüger, Julia
Opfer, Roland
Gessert, Nils Thorben
Ostwaldt, Ann-Christin
Walker-Egger, Christine
Manogaran, Paraveena
Wang, Chenyu
Barnett, Michael
Schlaefer, Alexander
Schippling, Sven
Institut
Medizintechnische Systeme E-1
TORE-URI
http://hdl.handle.net/11420/4382
Journal
Multiple sclerosis journal
Start Page
844
End Page
845
Article Number
EP1521
Publisher DOI
10.1177/1352458519872904
Publisher
Sage Publications
DDC Class
004: Informatik
610: Medizin
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