Cargando…
Prediction of Refractive Error Based on Ultrawide Field Images With Deep Learning Models in Myopia Patients
SUMMARY: Ultrawide field fundus images could be applied in deep learning models to predict the refractive error of myopic patients. The predicted error was related to the older age and greater spherical power. PURPOSE: To explore the possibility of predicting the refractive error of myopic patients...
Autores principales: | Yang, Danjuan, Li, Meiyan, Li, Weizhen, Wang, Yunzhe, Niu, Lingling, Shen, Yang, Zhang, Xiaoyu, Fu, Bo, Zhou, Xingtao |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Frontiers Media S.A.
2022
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9007166/ https://www.ncbi.nlm.nih.gov/pubmed/35433763 http://dx.doi.org/10.3389/fmed.2022.834281 |
Ejemplares similares
-
Application of mydriasis and eye steering in ultrawide field imaging for detecting peripheral retinal lesions in myopic patients
por: Li, Meiyan, et al.
Publicado: (2023) -
Two-Year Visual Outcomes of Evolution Implantable Collamer Lens and Small Incision Lenticule Extraction for the Correction of Low Myopia
por: Fu, Mengjun, et al.
Publicado: (2022) -
Artificial intelligence-based refractive error prediction and EVO-implantable collamer lens power calculation for myopia correction
por: Jiang, Yinjie, et al.
Publicado: (2023) -
Effects of atropine 0.01% on refractive errors in children with myopia
por: Zhu, Xingxue, et al.
Publicado: (2023) -
Impact of ablation ratio on 5-year postoperative posterior corneal stability after refractive surgery: SMILE and FS-LASIK
por: Li, Meiyan, et al.
Publicado: (2020)