Manual segmentation versus semi-automated segmentation for quantifying vestibular schwannoma volume on MRI
- Location
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Deutsche Nationalbibliothek Frankfurt am Main
- ISSN
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1861-6429
- Extent
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Online-Ressource
- Language
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Englisch
- Notes
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online resource.
- Bibliographic citation
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Manual segmentation versus semi-automated segmentation for quantifying vestibular schwannoma volume on MRI ; volume:15 ; number:9 ; day:16 ; month:7 ; year:2020 ; pages:1445-1455 ; date:9.2020
International journal of computer assisted radiology and surgery ; 15, Heft 9 (16.7.2020), 1445-1455, 9.2020
- Creator
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McGrath, Hari
Li, Peichao
Dorent, Reuben
Bradford, Robert
Saeed, Shakeel
Bisdas, Sotirios
Ourselin, Sebastien
Shapey, Jonathan
Vercauteren, Tom
- Contributor
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SpringerLink (Online service)
- DOI
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10.1007/s11548-020-02222-y
- URN
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urn:nbn:de:101:1-2020100417181327601846
- Rights
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Open Access; Der Zugriff auf das Objekt ist unbeschränkt möglich.
- Last update
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14.08.2025, 10:58 AM CEST
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Associated
- McGrath, Hari
- Li, Peichao
- Dorent, Reuben
- Bradford, Robert
- Saeed, Shakeel
- Bisdas, Sotirios
- Ourselin, Sebastien
- Shapey, Jonathan
- Vercauteren, Tom
- SpringerLink (Online service)
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Accuracy of vestibular schwannoma segmentation using deep learning models - a systematic review & meta-analysis
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