Deep Learning Fundus Image Analysis for Diabetic Retinopathy and Macular Edema Grading
Abstract Diabetes is a globally prevalent disease that can cause visible microvascular complications such as diabetic retinopathy and macular edema in the human eye retina, the images of which are today used for manual disease screening and diagnosis. This labor-intensive task could greatly benefit...
Enregistré dans:
Auteurs principaux: | Jaakko Sahlsten, Joel Jaskari, Jyri Kivinen, Lauri Turunen, Esa Jaanio, Kustaa Hietala, Kimmo Kaski |
---|---|
Format: | article |
Langue: | EN |
Publié: |
Nature Portfolio
2019
|
Sujets: | |
Accès en ligne: | https://doaj.org/article/7be95b5c7f1c4b319f24496ec35ec514 |
Tags: |
Ajouter un tag
Pas de tags, Soyez le premier à ajouter un tag!
|
Documents similaires
-
Predicting optical coherence tomography-derived diabetic macular edema grades from fundus photographs using deep learning
par: Avinash V. Varadarajan, et autres
Publié: (2020) -
Increased expression of Protein S in eyes with diabetic retinopathy and diabetic macular edema
par: Masahiko Sugimoto, et autres
Publié: (2021) -
Evaluation of nepafenac in prevention of macular edema following cataract surgery in patients with diabetic retinopathy
par: Singh R, et autres
Publié: (2012) -
GRAding of functional and anatomical response to DExamethasone implant in patients with Diabetic Macular Edema: GRADE-DME Study
par: Patricio J. Rodríguez-Valdés, et autres
Publié: (2021) -
Effect of panretinal photocoagulation on macular morphology and thickness in eyes with proliferative diabetic retinopathy without clinically significant macular edema
par: Soman M, et autres
Publié: (2012)