Deep learning for automatic segmentation of vestibular schwannoma: a retrospective study from multi-center routine MRI.

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Title: Deep learning for automatic segmentation of vestibular schwannoma: a retrospective study from multi-center routine MRI.
Authors: Kujawa, Aaron1, aaron.kujawa@kcl.ac.uk, Dorent, Reuben1, Connor, Steve1,2,3, Thomson, Suki2, Ivory, Marina1, Vahedi, Ali2, Guilhem, Emily2, Wijethilake, Navodini1, Bradford, Robert4,5, Kitchen, Neil4,5, Bisdas, Sotirios6, Ourselin, Sebastien1, Vercauteren, Tom1, Shapey, Jonathan1,7
Source: Frontiers in Computational Neuroscience; 2024, p1-15, 15p
Database: Applied Science & Technology Source
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DbLabel: Applied Science & Technology Source
An: 177449688
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PubType: Academic Journal
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        Value: 10.3389/fncom.2024.1365727
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      – TitleFull: Deep learning for automatic segmentation of vestibular schwannoma: a retrospective study from multi-center routine MRI.
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              M: 05
              Text: 2024
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