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Diabetic retinopathy (DR) is one of the leading causes of blindness in the working-age population of developed countries, caused by a side effect of diabetes that reduces the blood supply to the retina. Deep neural networks have been widely…

Computer Vision and Pattern Recognition · Computer Science 2022-08-05 Jose Miguel Arrieta Ramos , Oscar Perdómo , Fabio A. González

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

The quality of diabetic retinopathy (DR) screening relies on the ability to correctly grade severity; however, many deep-learning (DL) classifiers cannot be easily interpreted in the clinical context. This study presents a methodology that…

Computer Vision and Pattern Recognition · Computer Science 2026-04-28 Pir Bakhsh Khokhar , Carmine Gravino , Fabio Palomba , Sule Yildirim Yayilgan , Sarang Shaikh

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

Background: The lack of explanations for the decisions made by algorithms such as deep learning has hampered their acceptance by the clinical community despite highly accurate results on multiple problems. Recently, attribution methods have…

Image and Video Processing · Electrical Eng. & Systems 2021-03-26 Amitojdeep Singh , J. Jothi Balaji , Mohammed Abdul Rasheed , Varadharajan Jayakumar , Rajiv Raman , Vasudevan Lakshminarayanan

Though deep learning has shown successful performance in classifying the label and severity stage of certain disease, most of them give few evidence on how to make prediction. Here, we propose to exploit the interpretability of deep…

Computer Vision and Pattern Recognition · Computer Science 2020-03-16 Yuhao Niu , Lin Gu , Feng Lu , Feifan Lv , Zongji Wang , Imari Sato , Zijian Zhang , Yangyan Xiao , Xunzhang Dai , Tingting Cheng

Diabetes mellitus is a chronic metabolic disorder characterized by persistent hyperglycemia due to insufficient insulin production or impaired insulin utilization. One of its most severe complications is diabetic retinopathy (DR), a…

Image and Video Processing · Electrical Eng. & Systems 2026-02-12 Ali El Bellaj , Aya Benradi , Salman El Youssoufi , Taha El Marzouki , Mohammed-Amine Cheddadi

Diabetic Retinopathy (DR) stands as the leading cause of blindness globally, particularly affecting individuals between the ages of 20 and 70. This paper presents a Computer-Aided Diagnosis (CAD) system designed for the automatic…

Computer Vision and Pattern Recognition · Computer Science 2024-08-31 Inas Al-Kamachy , Reza Hassanpour , Roya Choupani

Diabetic retinopathy (DR) is the most common form of diabetic eye disease. Retinopathy can affect all diabetic patients and becomes particularly dangerous, increasing the risk of blindness, if it is left untreated. The success rate of its…

Computer Vision and Pattern Recognition · Computer Science 2019-02-11 Oindrila Saha , Rachana Sathish , Debdoot Sheet

Diabetic Retinopathy (DR) is a major cause of vision impairment worldwide. However, manual diagnosis is often time-consuming and prone to errors, leading to delays in screening. This paper presents a lightweight automated deep learning…

Computer Vision and Pattern Recognition · Computer Science 2026-02-26 Aadi Joshi , Manav S. Sharma , Vijay Uttam Rathod , Ashlesha Sawant , Prajakta Musale , Asmita B. Kalamkar

Diabetic retinopathy and diabetic macular edema are significant complications of diabetes that can lead to vision loss. Early detection through ultra-widefield fundus imaging enhances patient outcomes but presents challenges in image…

Image and Video Processing · Electrical Eng. & Systems 2024-09-20 Philippe Zhang , Pierre-Henri Conze , Mathieu Lamard , Gwenolé Quellec , Mostafa El Habib Daho

Convolutional Neural Networks (CNNs) have successfully been used to classify diabetic retinopathy (DR) fundus images in recent times. However, deeper representations in CNNs may capture higher-level semantics at the expense of spatial…

Computer Vision and Pattern Recognition · Computer Science 2021-02-03 Samuel Ofosu Mensah , Bubacarr Bah , Willie Brink

Retinal fundus imaging plays an essential role in diagnosing various stages of diabetic retinopathy, where exudates are critical markers of early disease onset. Prompt detection of these exudates is pivotal for enabling optometrists to…

Image and Video Processing · Electrical Eng. & Systems 2024-08-14 Mujadded Al Rabbani Alif

Diabetic retinopathy is a severe eye condition caused by diabetes where the retinal blood vessels get damaged and can lead to vision loss and blindness if not treated. Early and accurate detection is key to intervention and stopping the…

Computer Vision and Pattern Recognition · Computer Science 2026-03-03 Shamim Rahim Refat , Ziyan Shirin Raha , Shuvashis Sarker , Faika Fairuj Preotee , MD. Musfikur Rahman , Tashreef Muhammad , Mohammad Shafiul Alam

In the modern world, one of the most severe eye infections brought on by diabetes is known as diabetic retinopathy, which will result in retinal damage, and, thus, lead to blindness. Diabetic retinopathy can be well treated with early…

Computer Vision and Pattern Recognition · Computer Science 2023-05-09 V. Banupriya , S. Anusuya

Type 2 Diabetes (T2D) is a chronic metabolic disorder that can lead to blindness and cardiovascular disease. Information about early stage T2D might be present in retinal fundus images, but to what extent these images can be used for a…

Patients with long-standing diabetes often fall prey to Diabetic Retinopathy (DR) resulting in changes in the retina of the human eye, which may lead to loss of vision in extreme cases. The aim of this study is two-fold: (a) create deep…

Image and Video Processing · Electrical Eng. & Systems 2021-08-17 Shaswat Patel , Maithili Lohakare , Samyak Prajapati , Shaanya Singh , Nancy Patel

Diabetic Retinopathy (DR) is a retinal disorder that affects the people having diabetes mellitus for a long time (20 years). DR is one of the main reasons for the preventable blindness all over the world. If not detected early the patient…

Image and Video Processing · Electrical Eng. & Systems 2018-08-14 Avula Benzamin , Chandan Chakraborty

Many people are affected by diabetes around the world. This disease may have type 1 and 2. Diabetes brings with it several complications including diabetic retinopathy, which is a disease that if not treated correctly can lead to…

Image and Video Processing · Electrical Eng. & Systems 2020-01-17 Gilberto Luis De Conto Junior

Diabetes Mellitus (DM) can lead to significant microvasculature disruptions that eventually causes diabetic retinopathy (DR), or complications in the eye due to diabetes. If left unchecked, this disease can increase over time and eventually…

Image and Video Processing · Electrical Eng. & Systems 2022-08-10 Meysam Tavakoli , Patrick Kelley