CLAHE-CapsNet: Efficient retina optical coherence tomography classification using capsule networks with contrast limited adaptive histogram equalization

Manual detection of eye diseases using retina Optical Coherence Tomography (OCT) images by Ophthalmologists is time consuming, prone to errors and tedious. Previous researchers have developed a computer aided system using deep learning-based convolutional neural networks (CNNs) to aid in faster dete...

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Detalles Bibliográficos
Autores principales: Opoku, Michael, Weyori, Benjamin Asubam, Adekoya, Adebayo Felix, Adu, Kwabena
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2023
Materias:
Research Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10688733/
https://www.ncbi.nlm.nih.gov/pubmed/38032915
http://dx.doi.org/10.1371/journal.pone.0288663

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10688733/
https://www.ncbi.nlm.nih.gov/pubmed/38032915
http://dx.doi.org/10.1371/journal.pone.0288663

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