Deep Learning to Detect OCT-derived Diabetic Macular Edema from Color Retinal Photographs
Ophthalmology Retina2022Vol. 6(5), pp. 398–410
Citations Over TimeTop 10% of 2022 papers
Xinle Liu, Tayyeba K. Ali, Preeti Singh, Ami Shah, Scott Mayer McKinney, Paisan Ruamviboonsuk, Angus Turner, Pearse A. Keane, Peranut Chotcomwongse, Variya Nganthavee, Mark A. Chia, Josef Huemer, Jorge Cuadros, Rajiv Raman, Greg S. Corrado, Lily Peng, Dale R. Webster, Naama Hammel, Avinash V. Varadarajan, Yun Liu, Reena Chopra, Pinal Bavishi
Abstract
The DLS can generalize to multiple international populations with an accuracy exceeding that of experts. The clinical value of this DLS to reduce false-positive referrals, thus decreasing the burden on specialist eye care, warrants a prospective evaluation.
Related Papers
- → Generalizing Generalizability in Information Systems Research(2003)1,544 cited
- → Applying Generalizability Theory using EduG(2011)108 cited
- → Laser photocoagulation for radiation retinopathy after ophthalmic plaque radiation therapy(2005)156 cited
- → Visual acuity following extracapsular cataract extraction in diabetes: A meta-analysis(1995)83 cited
- → Light-induced maculopathy and cystoid macular edema(1988)13 cited