A Ready-to-Use Grading Tool for Facial Palsy Examiners—Automated Grading System in Facial Palsy Patients Made Easy

URN to cite this document:: urn:nbn:de:bvb:355-epub-530999
DOI to cite this document:: 10.5283/epub.53099

Knoedler, Leonard

; Miragall, Maximilian ; Kauke-Navarro, Martin ; Obed, Doha ; Bauer, Maximilian ; Tißler, Patrick ; Prantl, Lukas

; Machens, Hans-Guenther ; Broer, Peter Niclas ; Baecher, Helena ; Panayi, Adriana C.

; Knoedler, Samuel

; Kehrer, Andreas

License: Creative Commons Attribution 4.0
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Date of publication of this fulltext: 24 Oct 2022 06:35

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Abstract

Background: The grading process in facial palsy (FP) patients is crucial for time- and cost-effective therapy decision-making. The House-Brackmann scale (HBS) represents the most commonly used classification system in FP diagnostics. This study investigated the benefits of linking machine learning (ML) techniques with the HBS. Methods: Image datasets of 51 patients seen at the Department of ...