Predicting OCT biological marker localization from weak annotations

Recent developments in deep learning have shown success in accurately predicting the location of biological markers in Optical Coherence Tomography (OCT) volumes of patients with Age-Related Macular Degeneration (AMD) and Diabetic Retinopathy (DR). We propose a method that automatically locates biol...

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Detalles Bibliográficos
Autores principales: Tejero, Javier Gamazo, Neila, Pablo Márquez, Kurmann, Thomas, Gallardo, Mathias, Zinkernagel, Martin, Wolf, Sebastian, Sznitman, Raphael
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2023
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10640596/
https://www.ncbi.nlm.nih.gov/pubmed/37952011
http://dx.doi.org/10.1038/s41598-023-47019-6

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10640596/
https://www.ncbi.nlm.nih.gov/pubmed/37952011
http://dx.doi.org/10.1038/s41598-023-47019-6

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