Risk Classification for Progression to Subfoveal Geographic Atrophy in Dry Age-Related Macular Degeneration Using Machine Learning-Enabled Outer Retinal Feature Extraction

BACKGROUND AND OBJECTIVE: To evaluate the utility of spectral-domain optical coherence tomography biomarkers to predict the development of subfoveal geographic atrophy (sfGA)

Détails bibliographiques
Publié dans:Ophthalmic surgery, lasers & imaging retina. - 2013. - 53(2022), 1 vom: 21. Jan., Seite 31-39
Auteur principal: Sarici, Kubra (Auteur)
Autres auteurs: Abraham, Joseph R, Sevgi, Duriye Damla, Lunasco, Leina, Srivastava, Sunil K, Whitney, Jon, Cetin, Hasan, Hanumanthu, Annapurna, Bell, Jordan M, Reese, Jamie L, Ehlers, Justis P
Format: Article en ligne
Langue:English
Publié: 2022
Accès à la collection:Ophthalmic surgery, lasers & imaging retina
Sujets:Journal Article Research Support, N.I.H., Extramural