Can deep phenotyping using retinal images predict response to intravitreal aflibercept therapy in patients with neovascular age-related macular degeneration?

2019 ◽  
Author(s):  
Sobha Sivaprasad
Keyword(s):  
Macular Degeneration ◽  
Age Related Macular Degeneration ◽  
Retinal Images ◽  
Age Related ◽  
Intravitreal Aflibercept ◽  
Deep Phenotyping

Intravitreal Aflibercept for Treatment-Resistant Neovascular Age-Related Macular Degeneration: 12-Month Safety and Efficacy Outcomes

2015 ◽  
Vol 55 (2) ◽  
pp. 84-90 ◽  
Author(s):  
Andrew A. Chang ◽  
Geoffrey K. Broadhead ◽  
Thomas Hong ◽  
Nichole Joachim ◽  
Adil Syed ◽  
...  
Keyword(s):  
Macular Degeneration ◽  
Age Related Macular Degeneration ◽  
Treatment Resistant ◽  
Safety And Efficacy ◽  
Age Related ◽  
Intravitreal Aflibercept

scholarly journals Cost-Minimization Analysis of Intravitreal Aflibercept (IVT-AFL) for Neovascular Age-Related Macular Degeneration in Spain

2013 ◽  
Vol 16 (7) ◽  
pp. A507 ◽  
Author(s):  
A. Garcia-Layana ◽  
A. Ortega ◽  
J.M. Ruiz-Moreno ◽  
M.S. Figueroa ◽  
J. Farres ◽  
...  
Keyword(s):  
Macular Degeneration ◽  
Cost Minimization ◽  
Age Related Macular Degeneration ◽  
Cost Minimization Analysis ◽  
Age Related ◽  
Intravitreal Aflibercept

scholarly journals Improving Efficiency in Separating Blood Vessels from Retinal Images with Deep Learning Techniques

2019 ◽  
Vol 8 (2S11) ◽  
pp. 3637-3640
Keyword(s):  
Diabetic Retinopathy ◽  
Deep Learning ◽  
Macular Degeneration ◽  
Blood Vessels ◽  
Age Related Macular Degeneration ◽  
Retinal Images ◽  
Retinal Vessels ◽  
Age Related ◽  
Learning Techniques ◽  
Retinal Pathologies

Retinal vessels ID means to isolate the distinctive retinal configuration issues, either wide or restricted from fundus picture foundation, for example, optic circle, macula, and unusual sores. Retinal vessels recognizable proof investigations are drawing in increasingly more consideration today because of pivotal data contained in structure which is helpful for the identification and analysis of an assortment of retinal pathologies included yet not restricted to: Diabetic Retinopathy (DR), glaucoma, hypertension, and Age-related Macular Degeneration (AMD). With the advancement of right around two decades, the inventive methodologies applying PC supported systems for portioning retinal vessels winding up increasingly significant and coming nearer. Various kinds of retinal vessels segmentation strategies discussed by using Deep Learning methods. At that point, the pre-processing activities and the best in class strategies for retinal vessels distinguishing proof are presented.

Sign in / Sign up

Export Citation Format

Share Document