Creating a retinal image database to develop an automated screening tool for diabetic retinopathy in India

Creating a retinal image database to develop an automated screening tool for diabetic retinopathy in India

Abstract Diabetic retinopathy (DR), a prevalent microvascular complication of diabetes, is the fifth leading cause of blindness worldwide. Given the critical nature of the disease, it is paramount that individuals with diabetes undergo annual screening for early and timely detection of DR, facilitat...

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Bibliographic Details
Main Authors: Ramachandran Rajalakshmi, Thyparambil Aravindakshan PramodKumar, Ashis Kumar Dhara, Geetha Kumar, Naziya Gulnaaz, Shramana Dey, Sourav Basak, B Uma Shankar, Raka Goswami, Raja Mohammed, Suchetha Manikandan, Sushmita Mitra, Harsimran Thethi, Saravanan Jebarani, Sinnakaruppan Mathavan, Tamilselvi Sarveswaran, Ranjit Mohan Anjana, Viswanathan Mohan, Sambuddha Ghosh, Tushar Kanti Bera, Rajiv Raman
Format: Article
Language:English
Published: Nature Portfolio 2025-03-01
Series:Scientific Reports
Subjects:
Diabetic retinopathy
Artificial intelligence
Deep learning
Retinal images
Grading platform
Retinal image database
Online Access:https://doi.org/10.1038/s41598-025-91941-w

Internet

https://doi.org/10.1038/s41598-025-91941-w

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