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...
Main Authors: | Gemma S. Parra-Dominguez, Carlos H. Garcia-Capulin, Raul E. Sanchez-Yanez |
---|---|
Format: | Article |
Language: | English |
Published: |
MDPI AG
2022-06-01
|
Series: | Diagnostics |
Subjects: | |
Online Access: | https://www.mdpi.com/2075-4418/12/7/1528 |
Similar Items
-
Facial Paralysis Detection on Images Using Key Point Analysis
by: Gemma S. Parra-Dominguez, et al.
Published: (2021-03-01) -
Bell’s palsy misdiagnosis: characteristics of occult tumors causing facial paralysis
by: Eun-Jae Chung, et al.
Published: (2022-10-01) -
Facial nerve palsy in children: A case series and literature review
by: Cynthia S. Wang, et al.
Published: (2021-09-01) -
Task force of the Brazilian Society of Otology — evaluation and management of peripheral facial palsy
by: Henrique Furlan Pauna, et al.
Published: (2024-05-01) -
Bilateral Facial Nerve (Bell’s) Palsy in a 24-Year-Old Woman: A Case Report
by: Camille Tolentino, et al.
Published: (2020-05-01)