Cargando…
Clinical Wide-Field Retinal Image Deep Learning Classification of Exudative and Non-Exudative Age-Related Macular Degeneration
Background: Age-related macular degeneration (AMD) is a disease that currently affects approximately 196 million individuals and is projected to affect 288 million in 2040. As a result, better and earlier detection methods for this disease are needed in an effort to provide a higher quality of care....
Autores principales: | Tak, Nathaniel, Reddy, Akshay J, Martel, Juliette, Martel, James B |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Cureus
2021
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8480936/ https://www.ncbi.nlm.nih.gov/pubmed/34646633 http://dx.doi.org/10.7759/cureus.17579 |
Ejemplares similares
-
Unilateral macular exudation
por: Khanum, Aayesha, et al.
Publicado: (2021) -
Exudative Retinal Detachment After ROP Laser Photocoagulation
por: Zou, Henry, et al.
Publicado: (2022) -
Deep Learning Classification of Drusen, Choroidal Neovascularization, and Diabetic Macular Edema in Optical Coherence Tomography (OCT) Images
por: Riazi Esfahani, Parsa, et al.
Publicado: (2023) -
Case Study of Endogenous Streptococcal Endophthalmitis in the Critical Care Setting
por: Reddy, Akshay J, et al.
Publicado: (2021) -
Anti-vascular Endothelial Growth Factor Outpatient Treatment Patterns in Patients with Exudative Age-related Macular Degeneration from a Japanese Hospital Claims Database
por: Iida, Tomohiro, et al.
Publicado: (2014)