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

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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Bibliographic Details
Main Authors: Natsuda Kaothanthong, Jirawut Limwattanayingyong, Sukhum Silpa-archa, Mongkol Tadarati, Atchara Amphornphruet, Panisa Singhanetr, Pawas Lalitwongsa, Pantid Chantangphol, Anyarak Amornpetchsathaporn, Methaphon Chainakul, Paisan Ruamviboonsuk
Format: Article
Language:English
Published: MDPI AG 2023-01-01
Series:Diagnostics
Subjects:
OCT
macular disease
image classification
Online Access:https://www.mdpi.com/2075-4418/13/2/189

Internet

https://www.mdpi.com/2075-4418/13/2/189

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