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

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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Bibliographic Details
Main Authors: Md Habibur Rahman, Hyeon Woo Jeong, Na Rae Kim, Dae Yu Kim
Format: Article
Language:English
Published: MDPI AG 2021-08-01
Series:Sensors
Subjects:
optical coherence tomography
lamina cribrosa
Bruch’s membrane opening
convolutional neural network
Online Access:https://www.mdpi.com/1424-8220/21/16/5383

Internet

https://www.mdpi.com/1424-8220/21/16/5383

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