Two-step hierarchical neural network for classification of dry age-related macular degeneration using optical coherence tomography images

Two-step hierarchical neural network for classification of dry age-related macular degeneration using optical coherence tomography images

PurposeThe aim of this study is to apply deep learning techniques for the development and validation of a system that categorizes various phases of dry age-related macular degeneration (AMD), including nascent geographic atrophy (nGA), through the analysis of optical coherence tomography (OCT) image...

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Bibliographic Details
Main Authors: Min Hu, Bin Wu, Di Lu, Jing Xie, Yiqiang Chen, Zhikuan Yang, Weiwei Dai
Format: Article
Language:English
Published: Frontiers Media S.A. 2023-07-01
Series:Frontiers in Medicine
Subjects:
optical coherence tomography (OCT)
age-related macular degeneration (AMD)
nascent geographic atrophy (nGA)
convolutional neural network (CNN)
deep learning
Online Access:https://www.frontiersin.org/articles/10.3389/fmed.2023.1221453/full

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https://www.frontiersin.org/articles/10.3389/fmed.2023.1221453/full

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