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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...
Autores principales: | Hu, Min, Wu, Bin, Lu, Di, Xie, Jing, Chen, Yiqiang, Yang, Zhikuan, Dai, Weiwei |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Frontiers Media S.A.
2023
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Materias: | |
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 |
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