Convolutional Neural Network–Based Automated Quality Assessment of OCT and OCT Angiography Image Maps in Individuals With Neurodegenerative Disease

PURPOSE: To train and test convolutional neural networks (CNNs) to automate quality assessment of optical coherence tomography (OCT) and OCT angiography (OCTA) images in patients with neurodegenerative disease. METHODS: Patients with neurodegenerative disease were enrolled in the Duke Eye Multimodal...

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Detalles Bibliográficos
Autores principales: Lee, Terry, Rivera, Alexandra, Brune, Matthew, Kundu, Anita, Haystead, Alice, Winslow, Lauren, Kundu, Raj, Wisely, C. Ellis, Robbins, Cason B., Henao, Ricardo, Grewal, Dilraj S., Fekrat, Sharon
Formato: Online Artículo Texto
Lenguaje:English
Publicado: The Association for Research in Vision and Ophthalmology 2023
Materias:
Artificial Intelligence
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10318591/
https://www.ncbi.nlm.nih.gov/pubmed/37389540
http://dx.doi.org/10.1167/tvst.12.6.30

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10318591/
https://www.ncbi.nlm.nih.gov/pubmed/37389540
http://dx.doi.org/10.1167/tvst.12.6.30

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