Optical Coherence Tomography Image Classification Using Hybrid Deep Learning and Ant Colony Optimization

Optical coherence tomography (OCT) is widely used to detect and classify retinal diseases. However, OCT-image-based manual detection by ophthalmologists is prone to errors and subjectivity. Thus, various automation methods have been proposed; however, improvements in detection accuracy are required....

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Detalles Bibliográficos
Autores principales: Khan, Awais, Pin, Kuntha, Aziz, Ahsan, Han, Jung Woo, Nam, Yunyoung
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2023
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10422382/
https://www.ncbi.nlm.nih.gov/pubmed/37571490
http://dx.doi.org/10.3390/s23156706

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10422382/
https://www.ncbi.nlm.nih.gov/pubmed/37571490
http://dx.doi.org/10.3390/s23156706

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