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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Hlavní autoři:	Md Habibur Rahman, Hyeon Woo Jeong, Na Rae Kim, Dae Yu Kim
Médium:	Artigo
Jazyk:	Inglês
Vydáno:	MDPI AG 2021-08-01
Edice:	Sensors
Témata:	optical coherence tomography lamina cribrosa Bruch’s membrane opening convolutional neural network
On-line přístup:	https://www.mdpi.com/1424-8220/21/16/5383
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