Towards a Reliable and Rapid Automated Grading System in Facial Palsy Patients: Facial Palsy Surgery Meets Computer Science

Benutzer: Gast

Dokumenttyp:: Zeitschriftenaufsatz
Autor(en):: Knoedler, Leonard ; Baecher, Helena ; Kauke-Navarro, Martin ; Prantl, Lukas ; Machens, Hans-Günther ; Scheuermann, Philipp ; Palm, Christoph ; Baumann, Raphael ; Kehrer, Andreas ; Panayi, Adriana C. ; Knoedler, Samuel
Titel:: Towards a Reliable and Rapid Automated Grading System in Facial Palsy Patients: Facial Palsy Surgery Meets Computer Science
Stichworte:: Article ; Bell's palsy ; idiopathic facial paralysis ; facial palsy ; machine learning ; grading systems ; automated grading ; artificial intelligence
Zeitschriftentitel:: Journal of Clinical Medicine
Jahr:: 2022
Band / Volume:: 11
Heft / Issue:: 17
Volltext / DOI:: doi:10.3390/jcm11174998
Verlag / Institution:: MDPI
E-ISSN:: 2077-0383
Publikationsdatum:: 25.08.2022
CC-Lizenz:: by, https://creativecommons.org/licenses/by/4.0

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