Correlation of point-wise retinal sensitivity with localized features of diabetic macular edema using deep learning.

Heiko Stino¹, Klaudia Birner¹, Irene Steiner², Laetitia Hinterhuber¹, Markus Gumpinger³, Simon Schürer-Waldheim³, Hrvoje Bogunovic⁴, Ursula Schmidt-Erfurth¹, Gregor S Reiter¹, Andreas Pollreisz⁵

¹Department of Ophthalmology, Medical University of Vienna, Austria.

²Institute of Medical Statistics, Center for Medical Data Science, Medical University of Vienna, Austria.

³Laboratory for Ophthalmic Image Analysis, Department of Ophthalmology and Optometry, Medical University of Vienna, Vienna, Austria.

⁴Institute of Artificial Intelligence, Center for Medical Data Science, Medical University of Vienna, Austria.

⁵Department of Ophthalmology, Medical University of Vienna, Austria. Electronic address: andreas.pollreisz@meduniwien.ac.at.

PubMed DOI

Abstract

OBJECTIVE: To evaluate the association between localized features of diabetic macular edema (DME) and point-wise retinal sensitivity (RS) assessed with microperimetry (MP) using deep learning (DL)-based automated quantification on optical coherence tomography (OCT) scans. DESIGN: Cross-sectional study. PARTICIPANTS: Twenty eyes of 20 subjects with clinically significant DME were included in this…

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