Cargando…
Automatic Facial Palsy Diagnosis as a Classification Problem Using Regional Information Extracted from a Photograph
The incapability to move the facial muscles is known as facial palsy, and it affects various abilities of the patient, for example, performing facial expressions. Recently, automatic approaches aiming to diagnose facial palsy using images and machine learning algorithms have emerged, focusing on pro...
Autores principales: | Parra-Dominguez, Gemma S., Garcia-Capulin, Carlos H., Sanchez-Yanez, Raul E. |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2022
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9317944/ https://www.ncbi.nlm.nih.gov/pubmed/35885434 http://dx.doi.org/10.3390/diagnostics12071528 |
Ejemplares similares
-
Towards Facial Gesture Recognition in Photographs of Patients with Facial Palsy
por: Parra-Dominguez, Gemma S., et al.
Publicado: (2022) -
Constructing an automatic diagnosis and severity-classification model for acromegaly using facial photographs by deep learning
por: Kong, Yanguo, et al.
Publicado: (2020) -
Automatic Detection of Acromegaly From Facial Photographs Using Machine Learning Methods
por: Kong, Xiangyi, et al.
Publicado: (2017) -
A Smartphone-Based Automatic Diagnosis System for Facial Nerve Palsy
por: Kim, Hyun Seok, et al.
Publicado: (2015) -
Using deep learning to predict ideology from facial photographs: expressions, beauty, and extra-facial information
por: Rasmussen, Stig Hebbelstrup Rye, et al.
Publicado: (2023)