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
Publicado en:BioMed Research International pp. 1 - 8
Autores principales: Kang, Yena Christina, Yang, Hee Kyung, Kim, Young Jae, Hwang, Jeong-Min, Kim, Kwang Gi
Formato: equations & formulas pictorial research tables/charts Journal Article
Publicado: Wiley-Blackwell 3/24/2022
Acceso en línea:Ver este registro en EBSCOhost