scholarly journals Screening Diabetic Retinopathy Using an Automated Retinal Image Analysis System in Mexico: Independent and Assistive use Cases (Preprint)

10.2196/25290 ◽  
2020 ◽  
Author(s):  
Alejandro Noriega ◽  
Daniela Meizner ◽  
Dalia Camacho ◽  
Jennifer Enciso ◽  
Hugo Quiroz-Mercado ◽  
...  
Keyword(s):  
Image Analysis ◽  
Diabetic Retinopathy ◽  
Retinal Image ◽  
Use Cases ◽  
Image Analysis System ◽  
Retinal Image Analysis ◽  
Analysis System

scholarly journals Retinal Image Analysis System

2020 ◽  
Vol 3 (3) ◽  
pp. 01-01
Author(s):  
S Karkuzhali
Keyword(s):  
Image Analysis ◽  
Retinal Image ◽  
Image Analysis System ◽  
Retinal Image Analysis ◽  
Analysis System

scholarly journals EyeArt + EyePACS: Automated Retinal Image Analysis For Diabetic Retinopathy Screening in a Telemedicine System

2015 ◽  
Author(s):  
Malavika Bhaskaranand ◽  
Jorge Cuadros ◽  
Chaithanya Ramachandra ◽  
Sandeep Bhat ◽  
Muneeswar G. Nittala ◽  
...  
Keyword(s):  
Image Analysis ◽  
Diabetic Retinopathy ◽  
Retinal Image ◽  
Telemedicine System ◽  
Retinal Image Analysis ◽  
Diabetic Retinopathy Screening ◽  
Retinopathy Screening

Crowdsourcing and Automated Retinal Image Analysis for Diabetic Retinopathy

2017 ◽  
Vol 17 (11) ◽  
Author(s):  
Lucy I. Mudie ◽  
Xueyang Wang ◽  
David S. Friedman ◽  
Christopher J. Brady
Keyword(s):  
Image Analysis ◽  
Diabetic Retinopathy ◽  
Retinal Image ◽  
Retinal Image Analysis

Automatic Retinal Image Analysis for the Detection of Diabetic Retinopathy

2018 ◽  
pp. 146-161 ◽  
Author(s):  
Prasanna Porwal ◽  
Samiksha Pachade ◽  
Manesh Kokare ◽  
Girish Deshmukh ◽  
Vivek Sahasrabuddhe
Keyword(s):  
Image Analysis ◽  
Diabetic Retinopathy ◽  
Retinal Image ◽  
Communication Systems ◽  
Retinal Disease ◽  
Disease Diagnosis ◽  
Machine Learning Techniques ◽  
Retinal Image Analysis ◽  
Computer Aided ◽  
Computer Scientists

Diabetic Retinopathy, a condition in the person affected by diabetes, is most common cause of blindness in the world. Recent research has given a better understanding of requirement in clinical eye care practice to identify better and cheaper ways of identification, management, diagnosis and treatment of retinal disease. The importance of diabetic retinopathy screening programs and difficulty in achieving reliable early diagnosis of diabetic retinopathy at a reasonable cost needs attention to develop computer-aided diagnosis tool. Computer aided disease diagnosis in retinal image analysis could ease mass screening of population with diabetes mellitus and help clinicians in utilizing their time more efficiently. The recent technological advances in computing power, communication systems, and machine learning techniques provide opportunities to the biomedical engineers and computer scientists to meet the requirements of clinical practice. With proper self-care, management, and medical professional support, individuals with diabetes can live a healthy and long life.

Computer-aided image analysis system for background diabetic retinopathy

1998 ◽  
Author(s):  
Gregory W. Donohoe ◽  
Peter Soliz ◽  
Sheila C. Nemeth
Keyword(s):  
Image Analysis ◽  
Diabetic Retinopathy ◽  
Image Analysis System ◽  
Computer Aided ◽  
Analysis System

scholarly journals Results of Automated Retinal Image Analysis for Detection of Diabetic Retinopathy from the Nakuru Study, Kenya

PLoS ONE ◽  
2015 ◽  
Vol 10 (10) ◽  
pp. e0139148 ◽  
Author(s):  
Morten B. Hansen ◽  
Michael D. Abràmoff ◽  
James C. Folk ◽  
Wanjiku Mathenge ◽  
Andrew Bastawrous ◽  
...  
Keyword(s):  
Image Analysis ◽  
Diabetic Retinopathy ◽  
Retinal Image ◽  
Retinal Image Analysis
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