Automated Mathematical Algorithm for Quantitative Measurement of Strabismus Based on Photographs of Nine Cardinal Gaze Positions

This study presents an automated algorithm that measures ocular deviation quantitatively using photographs of the nine cardinal points of gaze by means of deep learning (DL) and image processing techniques. Photographs were collected from patients with strabismus. The images were used as inputs for...

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Detalles Bibliográficos
Autores principales: Kang, Yena Christina, Yang, Hee Kyung, Kim, Young Jae, Hwang, Jeong-Min, Kim, Kwang Gi
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Hindawi 2022
Materias:
Research Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8970860/
https://www.ncbi.nlm.nih.gov/pubmed/35372579
http://dx.doi.org/10.1155/2022/9840494

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8970860/
https://www.ncbi.nlm.nih.gov/pubmed/35372579
http://dx.doi.org/10.1155/2022/9840494

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