Computer-based detection of age-related macular degeneration and glaucoma using retinal images and clinical data

2019 ◽  
Author(s):  
Vinayak Joshi ◽  
Jeffrey Wigdahl ◽  
Jeremy Benson ◽  
Sheila Nemeth ◽  
Peter Soliz
Keyword(s):  
Macular Degeneration ◽  
Clinical Data ◽  
Age Related Macular Degeneration ◽  
Retinal Images ◽  
Age Related ◽  
Computer Based

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.

EVALUATING CONTRAST SENSITIVITY IN AGE-RELATED MACULAR DEGENERATION USING A NOVEL COMPUTER-BASED TEST, THE SPAETH/RICHMAN CONTRAST SENSITIVITY TEST

Retina ◽  
2015 ◽  
Vol 35 (7) ◽  
pp. 1465-1473 ◽  
Author(s):  
Bruno M. Faria ◽  
Fulya Duman ◽  
Cindy X. Zheng ◽  
Michael Waisbourd ◽  
Lalita Gupta ◽  
...  
Keyword(s):  
Macular Degeneration ◽  
Contrast Sensitivity ◽  
Sensitivity Test ◽  
Age Related Macular Degeneration ◽  
Age Related ◽  
Computer Based

Computer-Based Test to Measure Optimal Visual Acuity in Age-Related Macular Degeneration

2007 ◽  
Vol 48 (10) ◽  
pp. 4838 ◽  
Author(s):  
Esther G. Gonza´lez ◽  
Luminita Tarita-Nistor ◽  
Samuel N. Markowitz ◽  
Martin J. Steinbach
Keyword(s):  
Visual Acuity ◽  
Macular Degeneration ◽  
Age Related Macular Degeneration ◽  
Age Related ◽  
Computer Based

scholarly journals Measuring dynamic levels of self-perceived anxiety and concern during simulated mobility tasks in people with non-neovascular age-related macular degeneration

2019 ◽  
Vol 104 (4) ◽  
pp. 529-534 ◽  
Author(s):  
Deanna J Taylor ◽  
Nicholas D Smith ◽  
Pete R Jones ◽  
Alison M Binns ◽  
David P Crabb
Keyword(s):  
Macular Degeneration ◽  
Real World ◽  
Point Group ◽  
Geographic Atrophy ◽  
Point Of View ◽  
Age Related Macular Degeneration ◽  
The Public ◽  
Age Related ◽  
Low Luminance ◽  
Computer Based

Background/aimsTo assess response to real-world mobility scenarios in people with dry age-related macular degeneration (AMD) using a computer-based test.MethodsParticipants were shown 18 point-of-view computer-based movies simulating walking through real-world scenarios, and pressed a button during scenes which would cause them self-perceived anxiety or concern in their day-to-day life. Button pressure was recorded throughout. Pressure traces were generated, which aligned with each movie time point. Group averages based on AMD severity were generated. Bootstrapped confidence intervals (CIs) for responses by group were generated around traces. Traces were examined to discover events causing the greatest differences between groups.ResultsParticipants had early/no AMD (n=8), intermediate AMD (n=7) or geographic atrophy (n=15 (GA)). Median (IQR) logMAR visual acuity was 0.04 (−0.04, 0.18), 0.26 (0.10, 0.40) and 0.32 (0.20, 0.56), respectively. Participants with intermediate AMD or GA recorded greater pressure than those with early and no AMD (Kruskal-Wallis, p=0.04). Four events involving navigating stairs and three under low luminance elicited greatest differences between groups (p<0.001).ConclusionPeople with intermediate AMD or GA likely experience higher levels of concern associated with mobility. The test highlights areas of specific concern. Results should be useful in patient management and educating the public about the everyday effects of AMD.

Sign in / Sign up

Export Citation Format

Share Document