Multilevel Deep Feature Generation Framework for Automated Detection of Retinal Abnormalities Using OCT Images

Optical coherence tomography (OCT) images coupled with many learning techniques have been developed to diagnose retinal disorders. This work aims to develop a novel framework for extracting deep features from 18 pre-trained convolutional neural networks (CNN) and to attain high performance using OCT...

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Detalles Bibliográficos
Autores principales: Barua, Prabal Datta, Chan, Wai Yee, Dogan, Sengul, Baygin, Mehmet, Tuncer, Turker, Ciaccio, Edward J., Islam, Nazrul, Cheong, Kang Hao, Shahid, Zakia Sultana, Acharya, U. Rajendra
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2021
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8700736/
https://www.ncbi.nlm.nih.gov/pubmed/34945957
http://dx.doi.org/10.3390/e23121651

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8700736/
https://www.ncbi.nlm.nih.gov/pubmed/34945957
http://dx.doi.org/10.3390/e23121651

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