Dissecting the Profile of Corneal Thickness With Keratoconus Progression Based on Anterior Segment Optical Coherence Tomography

PURPOSE: To characterize the corneal and epithelial thickness at different stages of keratoconus (KC), using a deep learning based corneal segmentation algorithm for anterior segment optical coherence tomography (AS-OCT). METHODS: An AS-OCT dataset was constructed in this study with 1,430 images fro...

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Detalles Bibliográficos
Autores principales: Dong, Yanling, Li, Dongfang, Guo, Zhen, Liu, Yang, Lin, Ping, Lv, Bin, Lv, Chuanfeng, Xie, Guotong, Xie, Lixin
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2022
Materias:
Neuroscience
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8842478/
https://www.ncbi.nlm.nih.gov/pubmed/35173574
http://dx.doi.org/10.3389/fnins.2021.804273

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8842478/
https://www.ncbi.nlm.nih.gov/pubmed/35173574
http://dx.doi.org/10.3389/fnins.2021.804273

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