Automatic segmentation of human knee anatomy by a convolutional neural network applying a 3D MRI protocol

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Location: Deutsche Nationalbibliothek Frankfurt am Main

ISSN: 1471-2474

Extent: Online-Ressource

Language: Englisch

Notes: online resource.

Bibliographic citation: Automatic segmentation of human knee anatomy by a convolutional neural network applying a 3D MRI protocol ; volume:24 ; number:1 ; day:18 ; month:1 ; year:2023 ; pages:1-12 ; date:12.2023
BMC musculoskeletal disorders ; 24, Heft 1 (18.1.2023), 1-12, 12.2023

Creator: Kulseng, Carl Petter Skaar
Nainamalai, Varatharajan
Grøvik, Endre
Geitung, Jonn-Terje
Årøen, Asbjørn
Gjesdal, Kjell-Inge

Contributor: SpringerLink (Online service)

DOI: 10.1186/s12891-023-06153-y

URN: urn:nbn:de:101:1-2023032609055926180995

Rights: Open Access; Der Zugriff auf das Objekt ist unbeschränkt möglich.

Last update: 14.08.2025, 10:55 AM CEST

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Kulseng, Carl Petter Skaar
Nainamalai, Varatharajan
Grøvik, Endre
Geitung, Jonn-Terje
Årøen, Asbjørn
Gjesdal, Kjell-Inge
SpringerLink (Online service)

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Automatic segmentation of human knee anatomy by a convolutional neural network applying a 3D MRI protocol

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