Medical Application of Geometric Deep Learning for the Diagnosis of Glaucoma

PURPOSE: (1) To assess the performance of geometric deep learning in diagnosing glaucoma from a single optical coherence tomography (OCT) scan of the optic nerve head and (2) to compare its performance to that obtained with a three-dimensional (3D) convolutional neural network (CNN), and with a gold...

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Detalles Bibliográficos
Autores principales: Thiéry, Alexandre H., Braeu, Fabian, Tun, Tin A., Aung, Tin, Girard, Michaël J. A.
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/PMC9940771/
https://www.ncbi.nlm.nih.gov/pubmed/36790820
http://dx.doi.org/10.1167/tvst.12.2.23

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9940771/
https://www.ncbi.nlm.nih.gov/pubmed/36790820
http://dx.doi.org/10.1167/tvst.12.2.23

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