- Standort
-
Deutsche Nationalbibliothek Frankfurt am Main
- ISSN
-
2190-7196
- Umfang
-
Online-Ressource
- Sprache
-
Englisch
- Anmerkungen
-
online resource.
- Erschienen in
-
A deep learning approach for parkinson’s disease severity assessment ; volume:12 ; number:5 ; day:26 ; month:8 ; year:2022 ; pages:943-953 ; date:9.2022
Health and Technology ; 12, Heft 5 (26.8.2022), 943-953, 9.2022
- Urheber
-
Aşuroğlu, Tunç
Oğul, Hasan
- Beteiligte Personen und Organisationen
-
SpringerLink (Online service)
- DOI
-
10.1007/s12553-022-00698-z
- URN
-
urn:nbn:de:101:1-2022112521052919180586
- Rechteinformation
-
Open Access; Der Zugriff auf das Objekt ist unbeschränkt möglich.
- Letzte Aktualisierung
-
15.08.2025, 07:35 MESZ
Datenpartner
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Beteiligte
- Aşuroğlu, Tunç
- Oğul, Hasan
- SpringerLink (Online service)
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