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Diabetic Retinopathy (DR), a leading cause of vision impairment in individuals with diabetes, affects approximately 34.6% of diabetes patients globally, with the number of cases projected to reach 242 million by 2045. Traditional DR…

Image and Video Processing · Electrical Eng. & Systems 2025-06-19 Akwasi Asare , Dennis Agyemanh Nana Gookyi , Derrick Boateng , Fortunatus Aabangbio Wulnye

Diabetic retinopathy (DR) is one of the major complications in diabetic patients' eyes, potentially leading to permanent blindness if not detected timely. This study aims to evaluate the accuracy of artificial intelligence (AI) in…

Image and Video Processing · Electrical Eng. & Systems 2025-04-09 Sidhiq Mardianta , Affandy , Catur Supriyanto , Catur Supriyanto , Adi Wijaya

The significant portion of diabetic patients was affected due to major blindness caused by Diabetic retinopathy (DR). For diabetic retinopathy, lesion segmentation, and detection the comprehensive examination is delved into the deep…

Artificial Intelligence · Computer Science 2024-11-20 Syed Mohd Faisal Malik , Md Tabrez Nafis , Mohd Abdul Ahad , Safdar Tanweer

This article aims to classify diabetic retinopathy (DR) disease into five different classes using an ensemble approach based on two popular pre-trained convolutional neural networks: VGG16 and Inception V3. The proposed model aims to…

Computer Vision and Pattern Recognition · Computer Science 2023-08-02 Susmita Ghosh , Abhiroop Chatterjee

With the prevalence of Diabetes, the Diabetes Mellitus Retinopathy (DR) is becoming a major health problem across the world. The long-term medical complications arising due to DR have a significant impact on the patient as well as the…

Computer Vision and Pattern Recognition · Computer Science 2022-01-04 Shreyas Rajesh Labhsetwar , Raj Sunil Salvi , Piyush Arvind Kolte , Veerasai Subramaniam venkatesh , Alistair Michael Baretto

In recent years, the focus is on improving the diagnosis of diabetic retinopathy (DR) using machine learning and deep learning technologies. Researchers have explored various approaches, including the use of high-definition medical imaging,…

Computer Vision and Pattern Recognition · Computer Science 2024-07-26 Saideep Kilaru , Kothamasu Jayachandra , Tanishka Yagneshwar , Suchi Kumari

We proposed a deep learning method for interpretable diabetic retinopathy (DR) detection. The visual-interpretable feature of the proposed method is achieved by adding the regression activation map (RAM) after the global averaging pooling…

Computer Vision and Pattern Recognition · Computer Science 2019-12-04 Zhiguang Wang , Jianbo Yang

Diabetic Retinopathy (DR) is a serious and common complication of diabetes, caused by prolonged high blood sugar levels that damage the small retinal blood vessels. If left untreated, DR can progress to retinal vein occlusion and stimulate…

Image and Video Processing · Electrical Eng. & Systems 2025-04-07 Mohammad Reza Yousefi , Ali Bakrani , Amin Dehghani

The prevalence of diabetic retinopathy (DR) has reached 34.6% worldwide and is a major cause of blindness among middle-aged diabetic patients. Regular DR screening using fundus photography helps detect its complications and prevent its…

Image and Video Processing · Electrical Eng. & Systems 2022-11-09 Fahman Saeed , Muhammad Hussain , Hatim A Aboalsamh , Fadwa Al Adel , Adi Mohammed Al Owaifeer

Diabetic retinopathy (DR) is a severe complication of diabetes that can cause permanent blindness. Timely diagnosis and treatment of DR are critical to avoid total loss of vision. Manual diagnosis is time consuming and error-prone. In this…

Image and Video Processing · Electrical Eng. & Systems 2021-10-05 Ramya Bygari , Rachita Naik , Uday Kumar P

Diabetic Retinopathy (DR) is a constantly deteriorating disease, being one of the leading causes of vision impairment and blindness. Subtle distinction among different grades and existence of many significant small features make the task of…

Computer Vision and Pattern Recognition · Computer Science 2018-12-31 Sheikh Muhammad Saiful Islam , Md Mahedi Hasan , Sohaib Abdullah

Diabetic Retinopathy (DR) is a serious microvascular complication of diabetes, and one of the leading causes of vision loss worldwide. Although automated detection and grading, with Deep Learning (DL), can reduce the burden on…

Image and Video Processing · Electrical Eng. & Systems 2026-04-06 Shramana Dey , Zahir Khan , T. A. PramodKumar , B. Uma Shankar , Ashis K. Dhara , Ramachandran Rajalakshmi , Rajiv Raman , Sushmita Mitra

Diabetic Retinopathy (DR) is a severe complication that may lead to retinal vascular damage and is one of the leading causes of vision impairment and blindness. DR broadly is classified into two stages - non-proliferative (NPDR), where…

Image and Video Processing · Electrical Eng. & Systems 2021-06-04 Aditya Jyoti Paul

Diabetic Retinopathy is a global health problem, influences 100 million individuals worldwide, and in the next few decades, these incidences are expected to reach epidemic proportions. Diabetic Retinopathy is a subtle eye disease that can…

Image and Video Processing · Electrical Eng. & Systems 2020-04-15 Saket S. Chaturvedi , Kajol Gupta , Vaishali Ninawe , Prakash S. Prasad

Diabetic Retinopathy (DR) is a non-negligible eye disease among patients with Diabetes Mellitus, and automatic retinal image analysis algorithm for the DR screening is in high demand. Considering the resolution of retinal image is very…

Computer Vision and Pattern Recognition · Computer Science 2019-11-14 Kang Zhou , Zaiwang Gu , Wen Liu , Weixin Luo , Jun Cheng , Shenghua Gao , Jiang Liu

We propose an automatic diabetic retinopathy (DR) analysis algorithm based on two-stages deep convolutional neural networks (DCNN). Compared to existing DCNN-based DR detection methods, the proposed algorithm have the following advantages:…

Computer Vision and Pattern Recognition · Computer Science 2017-05-03 Yehui Yang , Tao Li , Wensi Li , Haishan Wu , Wei Fan , Wensheng Zhang

Early detection of diabetic retinopathy prevents visual loss and blindness of a human eye. Based on the types of feature extraction method used, DR detection method can be broadly classified as Deep Convolutional Neural Network (CNN) based…

Image and Video Processing · Electrical Eng. & Systems 2020-01-01 Asma Khatun , Sk. Golam Sarowar Hossain

Diabetic retinopathy (DR), affecting millions globally with projections indicating a significant rise, poses a severe blindness risk and strains healthcare systems. Diagnostic complexity arises from visual symptom overlap with conditions…

Image and Video Processing · Electrical Eng. & Systems 2026-01-14 Susmita Kar , A S M Ahsanul Sarkar Akib , Abdul Hasib , Samin Yaser , Anas Bin Azim

Cases of diabetes and related diabetic retinopathy (DR) have been increasing at an alarming rate in modern times. Early detection of DR is an important problem since it may cause permanent blindness in the late stages. In the last two…

Image and Video Processing · Electrical Eng. & Systems 2021-05-31 Burcu Oltu , Büşra Kübra Karaca , Hamit Erdem , Atilla Özgür

Diabetic retinopathy (DR) is a leading cause of vision loss among middle-aged and elderly people, which significantly impacts their daily lives and mental health. To improve the efficiency of clinical screening and enable the early…

Computer Vision and Pattern Recognition · Computer Science 2025-10-31 Junlai Qiu , Yunzhu Chen , Hao Zheng , Yawen Huang , Yuexiang Li