The Classification of Common Macular Diseases Using Deep Learning on Optical Coherence Tomography Images with and without Prior Automated Segmentation

We compared the performance of deep learning (DL) in the classification of optical coherence tomography (OCT) images of macular diseases between automated classification alone and in combination with automated segmentation. OCT images were collected from patients with neovascular age-related macular...

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Detalles Bibliográficos
Autores principales: Kaothanthong, Natsuda, Limwattanayingyong, Jirawut, Silpa-archa, Sukhum, Tadarati, Mongkol, Amphornphruet, Atchara, Singhanetr, Panisa, Lalitwongsa, Pawas, Chantangphol, Pantid, Amornpetchsathaporn, Anyarak, Chainakul, Methaphon, Ruamviboonsuk, Paisan
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2023
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9858554/
https://www.ncbi.nlm.nih.gov/pubmed/36672999
http://dx.doi.org/10.3390/diagnostics13020189

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9858554/
https://www.ncbi.nlm.nih.gov/pubmed/36672999
http://dx.doi.org/10.3390/diagnostics13020189

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