Could automated machine-learned MRI grading aid epidemiological studies of lumbar spinal stenosis? Validation within the Wakayama spine study
- Standort
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Deutsche Nationalbibliothek Frankfurt am Main
- ISSN
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1471-2474
- Umfang
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Online-Ressource
- Sprache
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Englisch
- Anmerkungen
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online resource.
- Erschienen in
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Could automated machine-learned MRI grading aid epidemiological studies of lumbar spinal stenosis? Validation within the Wakayama spine study ; volume:21 ; number:1 ; day:12 ; month:3 ; year:2020 ; pages:1-6 ; date:12.2020
BMC musculoskeletal disorders ; 21, Heft 1 (12.3.2020), 1-6, 12.2020
- Urheber
-
Ishimoto, Yuyu
Jamaludin, Amir
Cooper, Cyrus
Walker-Bone, Karen
Yamada, Hiroshi
Hashizume, Hiroshi
Oka, Hiroyuki
Tanaka, Sakae
Yoshimura, Noriko
Yoshida, Munehito
Urban, Jill
Kadir, Timor
Fairbank, Jeremy
- Beteiligte Personen und Organisationen
-
SpringerLink (Online service)
- DOI
-
10.1186/s12891-020-3164-1
- URN
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urn:nbn:de:101:1-2020060403380913857425
- Rechteinformation
-
Open Access; Der Zugriff auf das Objekt ist unbeschränkt möglich.
- Letzte Aktualisierung
-
14.08.2025, 10:51 MESZ
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Beteiligte
- Ishimoto, Yuyu
- Jamaludin, Amir
- Cooper, Cyrus
- Walker-Bone, Karen
- Yamada, Hiroshi
- Hashizume, Hiroshi
- Oka, Hiroyuki
- Tanaka, Sakae
- Yoshimura, Noriko
- Yoshida, Munehito
- Urban, Jill
- Kadir, Timor
- Fairbank, Jeremy
- SpringerLink (Online service)
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