A Deep Learning Framework for the Detection and Quantification of Reticular Pseudodrusen and Drusen on Optical Coherence Tomography

The purpose of this study was to develop and validate a deep learning (DL) framework for the detection and quantification of reticular pseudodrusen (RPD) and drusen on optical coherence tomography (OCT) scans. A DL framework was developed consisting of a classification model and an out-of-distributi...

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Veröffentlicht in:	Translational vision science & technology 2022-12, Vol.11 (12), p.3
Hauptverfasser:	Schwartz, Roy, Khalid, Hagar, Liakopoulos, Sandra, Ouyang, Yanling, de Vente, Coen, González-Gonzalo, Cristina, Lee, Aaron Y, Guymer, Robyn, Chew, Emily Y, Egan, Catherine, Wu, Zhichao, Kumar, Himeesh, Farrington, Joseph, Müller, Philipp L, Sánchez, Clara I, Tufail, Adnan
Format:	Artikel
Sprache:	eng
Schlagworte:	Artificial Intelligence Deep Learning Humans Macular Degeneration - diagnostic imaging Retina Retinal Drusen - diagnostic imaging Tomography, Optical Coherence
Online-Zugang:	Volltext
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