Automatic Quantification of Anterior Lamina Cribrosa Structures in Optical Coherence Tomography Using a Two-Stage CNN Framework

In this study, we propose a new intelligent system to automatically quantify the morphological parameters of the lamina cribrosa (LC) of the optical coherence tomography (OCT), including depth, curve depth, and curve index from OCT images. The proposed system consisted of a two-stage deep learning (...

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Detalles Bibliográficos
Autores principales: Rahman, Md Habibur, Jeong, Hyeon Woo, Kim, Na Rae, Kim, Dae Yu
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2021
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8400634/
https://www.ncbi.nlm.nih.gov/pubmed/34450823
http://dx.doi.org/10.3390/s21165383

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8400634/
https://www.ncbi.nlm.nih.gov/pubmed/34450823
http://dx.doi.org/10.3390/s21165383

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