Fundus image classification using Inception V3 and ResNet-50 for the early diagnostics of fundus diseases

Purpose: We aim to present effective and computer aided diagnostics in the field of ophthalmology and improve eye health. This study aims to create an automated deep learning based system for categorizing fundus images into three classes: normal, macular degeneration and tessellated fundus for the t...

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Detalles Bibliográficos
Autores principales: Pan, Yuhang, Liu, Junru, Cai, Yuting, Yang, Xuemei, Zhang, Zhucheng, Long, Hong, Zhao, Ketong, Yu, Xia, Zeng, Cui, Duan, Jueni, Xiao, Ping, Li, Jingbo, Cai, Feiyue, Yang, Xiaoyun, Tan, Zhen
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2023
Materias:
Physiology
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9975334/
https://www.ncbi.nlm.nih.gov/pubmed/36875027
http://dx.doi.org/10.3389/fphys.2023.1126780

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9975334/
https://www.ncbi.nlm.nih.gov/pubmed/36875027
http://dx.doi.org/10.3389/fphys.2023.1126780

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