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

PURPOSE: The 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) ima...

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Detalles Bibliográficos
Autores principales: Hu, Min, Wu, Bin, Lu, Di, Xie, Jing, Chen, Yiqiang, Yang, Zhikuan, Dai, Weiwei
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2023
Materias:
Medicine
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10403700/
https://www.ncbi.nlm.nih.gov/pubmed/37547613
http://dx.doi.org/10.3389/fmed.2023.1221453

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10403700/
https://www.ncbi.nlm.nih.gov/pubmed/37547613
http://dx.doi.org/10.3389/fmed.2023.1221453

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