Toward an Automatic System for Computer-Aided Assessment in Facial Palsy

Importance: Quantitative assessment of facial function is challenging, and subjective grading scales such as House–Brackmann, Sunnybrook, and eFACE have well-recognized limitations. Machine learning (ML) approaches to facial landmark localization carry great clinical potential as they enable high-th...

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Bibliographische Detailangaben
Veröffentlicht in:Facial Plast Surg Aesthet Med
Hauptverfasser: Guarin, Diego L., Yunusova, Yana, Taati, Babak, Dusseldorp, Joseph R., Mohan, Suresh, Tavares, Joana, van Veen, Martinus M., Fortier, Emily, Hadlock, Tessa A., Jowett, Nate
Format: Artigo
Sprache:Inglês
Veröffentlicht: Mary Ann Liebert, Inc., publishers 2020
Schlagworte:
Original Investigations
Online Zugang:https://ncbi.nlm.nih.gov/pmc/articles/PMC7362997/
https://ncbi.nlm.nih.gov/pubmed/32053425
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1089/fpsam.2019.29000.gua
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