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Title:

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

Document type:
Journal Article
Author(s):
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
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 Plastic, Hand, and Reconstructive Surgery at the University Hospital Regensburg, Germany, between June 202...     »
Journal title abbreviation:
J Pers Med
Year:
2022
Journal volume:
12
Journal issue:
10
Fulltext / DOI:
doi:10.3390/jpm12101739
Pubmed ID:
http://view.ncbi.nlm.nih.gov/pubmed/36294878
TUM Institution:
Lehrstuhl für Plastische Chirurgie und Handchirurgie (Prof. Machens)
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