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

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

Background: Reliable, time- and cost-effective, and clinician-friendly diagnostic tools are cornerstones in facial palsy (FP) patient management. Different automated FP grading systems have been developed but revealed persisting downsides such as insufficient accuracy and cost-intensive hardware. We...

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Bibliographic Details
Main Authors: Leonard Knoedler, Helena Baecher, Martin Kauke-Navarro, Lukas Prantl, Hans-Günther Machens, Philipp Scheuermann, Christoph Palm, Raphael Baumann, Andreas Kehrer, Adriana C. Panayi, Samuel Knoedler
Format: Article
Language:English
Published: MDPI AG 2022-08-01
Series:Journal of Clinical Medicine
Subjects:
Bell’s palsy
idiopathic facial paralysis
facial palsy
machine learning
grading systems
automated grading
Online Access:https://www.mdpi.com/2077-0383/11/17/4998

Internet

https://www.mdpi.com/2077-0383/11/17/4998

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