Three-dimensional diabetic macular edema thickness maps based on fluid segmentation and fovea detection using deep learning.
Sign Up to like & getrecommendations! Published in 2022 at "International journal of ophthalmology"
DOI: 10.18240/ijo.2022.03.19
Abstract: AIM To explore a more accurate quantifying diagnosis method of diabetic macular edema (DME) by displaying detailed 3D morphometry beyond the gold-standard quantification indicator-central retinal thickness (CRT) and apply it in follow-up of DME patients.… read more here.
Keywords: thickness maps; macular edema; segmentation; thickness ... See more keywords