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...
Guardado en:
Autores principales: | Jaakko Sahlsten, Joel Jaskari, Jyri Kivinen, Lauri Turunen, Esa Jaanio, Kustaa Hietala, Kimmo Kaski |
---|---|
Formato: | article |
Lenguaje: | EN |
Publicado: |
Nature Portfolio
2019
|
Materias: | |
Acceso en línea: | https://doaj.org/article/7be95b5c7f1c4b319f24496ec35ec514 |
Etiquetas: |
Agregar Etiqueta
Sin Etiquetas, Sea el primero en etiquetar este registro!
|
Ejemplares similares
-
Predicting optical coherence tomography-derived diabetic macular edema grades from fundus photographs using deep learning
por: Avinash V. Varadarajan, et al.
Publicado: (2020) -
Increased expression of Protein S in eyes with diabetic retinopathy and diabetic macular edema
por: Masahiko Sugimoto, et al.
Publicado: (2021) -
Evaluation of nepafenac in prevention of macular edema following cataract surgery in patients with diabetic retinopathy
por: Singh R, et al.
Publicado: (2012) -
GRAding of functional and anatomical response to DExamethasone implant in patients with Diabetic Macular Edema: GRADE-DME Study
por: Patricio J. Rodríguez-Valdés, et al.
Publicado: (2021) -
Effect of panretinal photocoagulation on macular morphology and thickness in eyes with proliferative diabetic retinopathy without clinically significant macular edema
por: Soman M, et al.
Publicado: (2012)