Role of Deep Learning–Quantified Hyperreflective Foci for the Prediction of Geographic Atrophy Progression

To quantitatively measure hyperreflective foci (HRF) during the progression of geographic atrophy (GA) secondary to age-related macular degeneration (AMD) using deep learning (DL) and investigate the association with local and global growth of GA. Eyes with GA were prospectively included. Spectral-d...

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Veröffentlicht in:	American journal of ophthalmology 2020-08, Vol.216, p.257-270
Hauptverfasser:	Schmidt-Erfurth, Ursula, Bogunovic, Hrvoje, Grechenig, Christoph, Bui, Patricia, Fabianska, Maria, Waldstein, Sebastian, Reiter, Gregor S.
Format:	Artikel
Sprache:	eng
Schlagworte:	Algorithms Artificial intelligence Atrophy Biomarkers Datasets Deep learning FDA approval Machine learning Macular degeneration Registration Retina
Online-Zugang:	Volltext
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