An Artificial Intelligence Enabled System for Retinal Nerve Fiber Layer Thickness Damage Severity Staging

An Artificial Intelligence Enabled System for Retinal Nerve Fiber Layer Thickness Damage Severity Staging

Purpose: To develop an objective glaucoma damage severity classification system based on OCT-derived retinal nerve fiber layer (RNFL) thickness measurements. Design: Algorithm development for RNFL damage severity classification based on multicenter OCT data. Subjects and Participants: A total of 656...

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Bibliographic Details
Main Authors: Siamak Yousefi, PhD, Xiaoqin Huang, PhD, Asma Poursoroush, MSc, Julek Majoor, PhD, Hans Lemij, MD, Koen Vermeer, PhD, Tobias Elze, PhD, Mengyu Wang, PhD, Kouros Nouri-Mahdavi, MD, MPH, Vahid Mohammadzadeh, MD, Paolo Brusini, MD, Chris Johnson, PhD
Format: Article
Language:English
Published: Elsevier 2024-03-01
Series:Ophthalmology Science
Subjects:
Artificial intelligence
Glaucoma
Glaucoma severity damage
Optical coherence tomography
Retinal nerve fiber layer (RNFL)
Staging
Online Access:http://www.sciencedirect.com/science/article/pii/S2666914523001215

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http://www.sciencedirect.com/science/article/pii/S2666914523001215

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