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Predicting OCT biological marker localization from weak annotations

Abstract 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 loc...

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Bibliografische gegevens
Hoofdauteurs: Javier Gamazo Tejero, Pablo Márquez Neila, Thomas Kurmann, Mathias Gallardo, Martin Zinkernagel, Sebastian Wolf, Raphael Sznitman
Formaat: Artigo
Taal:Inglês
Gepubliceerd in: Nature Portfolio 2023-11-01
Reeks:Scientific Reports
Online toegang:https://doi.org/10.1038/s41598-023-47019-6
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