Multi-stage glaucoma classification using pre-trained convolutional neural networks and voting-based classifier fusion

Aim: To design an automated glaucoma detection system for early detection of glaucoma using fundus images. Background: Glaucoma is a serious eye problem that can cause vision loss and even permanent blindness. Early detection and prevention are crucial for effective treatment. Traditional diagnostic...

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Detalles Bibliográficos
Autores principales: Velpula, Vijaya Kumar, Sharma, Lakhan Dev
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/PMC10293617/
https://www.ncbi.nlm.nih.gov/pubmed/37383146
http://dx.doi.org/10.3389/fphys.2023.1175881

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10293617/
https://www.ncbi.nlm.nih.gov/pubmed/37383146
http://dx.doi.org/10.3389/fphys.2023.1175881

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