Synthetic OCT Data Generation to Enhance the Performance of Diagnostic Models for Neurodegenerative Diseases

PURPOSE: Optical coherence tomography (OCT) has recently emerged as a source for powerful biomarkers in neurodegenerative diseases such as multiple sclerosis (MS) and neuromyelitis optica (NMO). The application of machine learning techniques to the analysis of OCT data has enabled automatic extracti...

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Detalles Bibliográficos
Autores principales: Danesh, Hajar, Steel, David H., Hogg, Jeffry, Ashtari, Fereshteh, Innes, Will, Bacardit, Jaume, Hurlbert, Anya, Read, Jenny C. A., Kafieh, Rahele
Formato: Online Artículo Texto
Lenguaje:English
Publicado: The Association for Research in Vision and Ophthalmology 2022
Materias:
Artificial Intelligence
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9554224/
https://www.ncbi.nlm.nih.gov/pubmed/36201202
http://dx.doi.org/10.1167/tvst.11.10.10

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9554224/
https://www.ncbi.nlm.nih.gov/pubmed/36201202
http://dx.doi.org/10.1167/tvst.11.10.10

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