Development of a deep-learning system for detection of lattice degeneration, retinal breaks, and retinal detachment in tessellated eyes using ultra-wide-field fundus images: A pilot study
Graefe's Archive for Clinical and Experimental Ophthalmology Feb 08, 2021
Zhang C, He F, Li B, et al. - Researchers conducted this pilot study to examine the detection of lattice degeneration, retinal breaks, and retinal detachment in tessellated eyes utilizing ultra-wide-field fundus imaging system (Optos) with convolutional neural network technology. This investigation involved 1500 Optos color images for tessellated fundus confirmation and peripheral retinal lesion (lattice degeneration, retinal breaks, and retinal detachment) assessment. Using ultra-wide-field images, a deep-learning system is feasible to detect lattice degeneration, retinal breaks, and retinal detachment in tessellated eyes. And, for screening and telemedicine, this system may be considered.
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