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Multi-class glioma segmentation on real-world data with missing MRI sequences: comparison of three deep learning algorithms.

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Bibliographic Details
Title: Multi-class glioma segmentation on real-world data with missing MRI sequences: comparison of three deep learning algorithms.
Authors: Pemberton, Hugh G.1,2 (AUTHOR), Wu, Jiaming1 (AUTHOR), Kommers, Ivar3 (AUTHOR), Müller, Domenique M. J.3 (AUTHOR), Hu, Yipeng1 (AUTHOR), Goodkin, Olivia1,2 (AUTHOR), Vos, Sjoerd B.1,2 (AUTHOR), Bisdas, Sotirios2 (AUTHOR), Robe, Pierre A.4 (AUTHOR), Ardon, Hilko5 (AUTHOR), Bello, Lorenzo6 (AUTHOR), Rossi, Marco6 (AUTHOR), Sciortino, Tommaso6 (AUTHOR), Nibali, Marco Conti6 (AUTHOR), Berger, Mitchel S.7 (AUTHOR), Hervey-Jumper, Shawn L.7 (AUTHOR), Bouwknegt, Wim8 (AUTHOR), Van den Brink, Wimar A.9 (AUTHOR), Furtner, Julia10 (AUTHOR), Han, Seunggu J.11 (AUTHOR)
Source: Scientific Reports. 11/2/2023, Vol. 13 Issue 1, p1-15. 15p.
Database: Academic Search Ultimate
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Description
ISSN:20452322
DOI:10.1038/s41598-023-44794-0