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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...
Autores principales: | Dong, Yanling, Li, Dongfang, Guo, Zhen, Liu, Yang, Lin, Ping, Lv, Bin, Lv, Chuanfeng, Xie, Guotong, Xie, Lixin |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Frontiers Media S.A.
2022
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Materias: | |
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 |
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