Cargando…
Evidence Based Prediction and Progression Monitoring on Retinal Images from Three Nations
PURPOSE: The aim of this work is to demonstrate how a retinal image analysis system, DAPHNE, supports the optimization of diabetic retinopathy (DR) screening programs for grading color fundus photography. METHOD: Retinal image sets, graded by trained and certified human graders, were acquired from S...
Autores principales: | Al Turk, Lutfiah, Wang, Su, Krause, Paul, Wawrzynski, James, Saleh, George M., Alsawadi, Hend, Alshamrani, Abdulrahman Zaid, Peto, Tunde, Bastawrous, Andrew, Li, Jingren, Tang, Hongying Lilian |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
The Association for Research in Vision and Ophthalmology
2020
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7443119/ https://www.ncbi.nlm.nih.gov/pubmed/32879754 http://dx.doi.org/10.1167/tvst.9.2.44 |
Ejemplares similares
-
Automated feature-based grading and progression analysis of diabetic retinopathy
por: Al-Turk, Lutfiah, et al.
Publicado: (2021) -
Learning to Discover Explainable Clinical Features With Minimum Supervision
por: Al Turk, Lutfiah, et al.
Publicado: (2022) -
An Automated Detection System for Microaneurysms That Is Effective across Different Racial Groups
por: Saleh, George Michael, et al.
Publicado: (2016) -
The Reading of Components of Diabetic Retinopathy: An Evolutionary Approach for Filtering Normal Digital Fundus Imaging in Screening and Population Based Studies
por: Tang, Hongying Lilian, et al.
Publicado: (2013) -
Correction: The Reading of Components of Diabetic Retinopathy: An Evolutionary Approach for Filtering Normal Digital Fundus Imaging in Screening and Population Based Studies
por: Tang, Hongying Lilian, et al.
Publicado: (2014)