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

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

PurposeTo 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).MethodsAn AS-OCT dataset was constructed in this study with 1,430 images from 715...

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Bibliographic Details
Main Authors: Yanling Dong, Dongfang Li, Zhen Guo, Yang Liu, Ping Lin, Bin Lv, Chuanfeng Lv, Guotong Xie, Lixin Xie
Format: Article
Language:English
Published: Frontiers Media S.A. 2022-01-01
Series:Frontiers in Neuroscience
Subjects:
keratoconus
corneal thickness
anterior segment optical coherence tomography
deep learning
segmentation
Online Access:https://www.frontiersin.org/articles/10.3389/fnins.2021.804273/full

Internet

https://www.frontiersin.org/articles/10.3389/fnins.2021.804273/full

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