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Self supervised contrastive learning based pretraining allows development of robust and generalized deep learning models with small, labeled datasets, reducing the burden of label generation. This paper aims to evaluate the effect of CL…

Image and Video Processing · Electrical Eng. & Systems 2022-08-25 Minhaj Nur Alam , Rikiya Yamashita , Vignav Ramesh , Tejas Prabhune , Jennifer I. Lim , R. V. P. Chan , Joelle Hallak , Theodore Leng , Daniel Rubin

Diabetic retinopathy (DR) is a leading cause of vision loss, requiring early and accurate assessment to prevent irreversible damage. Spectral Domain Optical Coherence Tomography (SD-OCT) enables high-resolution retinal imaging, but…

Image and Video Processing · Electrical Eng. & Systems 2025-07-15 S. Chen , D. Ma , M. Raviselvan , S. Sundaramoorthy , K. Popuri , M. J. Ju , M. V. Sarunic , D. Ratra , M. F. Beg

Diabetic retinopathy (DR) is a common retinal disease that leads to blindness. For diagnosis purposes, DR image grading aims to provide automatic DR grade classification, which is not addressed in conventional research methods of binary DR…

Computer Vision and Pattern Recognition · Computer Science 2022-03-24 Ziyuan Zhao , Kerui Zhang , Xuejie Hao , Jing Tian , Matthew Chin Heng Chua , Li Chen , Xin Xu

Alzheimer's disease is a progressive neurodegenerative disorder that gradually deprives the patient of cognitive function and can end in death. With the advancement of technology today, it is possible to detect Alzheimer's disease through…

Image and Video Processing · Electrical Eng. & Systems 2022-07-05 Muhammad Wildan Oktavian , Novanto Yudistira , Achmad Ridok

Diabetic Retinopathy (DR), induced by diabetes, poses a significant risk of visual impairment. Accurate and effective grading of DR aids in the treatment of this condition. Yet existing models experience notable performance degradation on…

Computer Vision and Pattern Recognition · Computer Science 2024-06-11 Peng Xia , Ming Hu , Feilong Tang , Wenxue Li , Wenhao Zheng , Lie Ju , Peibo Duan , Huaxiu Yao , Zongyuan Ge

Preprint Note: This is the author preprint version of a paper accepted for presentation at the IISE Annual Conference & Expo 2025. The final version will appear in the official proceedings. Diabetic retinopathy (DR) is a leading cause of…

Machine Learning · Computer Science 2025-10-02 Mahyar Mahmoudi , Tieming Liu

Diabetic Retinopathy (DR) has emerged as a major cause of preventable blindness in recent times. With timely screening and intervention, the condition can be prevented from causing irreversible damage. The work introduces a state-of-the-art…

Computer Vision and Pattern Recognition · Computer Science 2025-11-19 Saksham Kumar , D Sridhar Aditya , T Likhil Kumar , Thulasi Bikku , Srinivasarao Thota , Chandan Kumar

All people with diabetes have the risk of developing diabetic retinopathy (DR), a vision-threatening complication. Early detection and timely treatment can reduce the occurrence of blindness due to DR. Computer-aided diagnosis has the…

Computer Vision and Pattern Recognition · Computer Science 2017-04-06 Ragav Venkatesan , Parag S. Chandakkar , Baoxin Li

Diabetic retinopathy (DR) is a leading cause of preventable blindness, affecting over 100 million people worldwide. In the United States, individuals from lower-income communities face a higher risk of progressing to advanced stages before…

Computer Vision and Pattern Recognition · Computer Science 2025-07-22 Jeannie She , Katie Spivakovsky

Diabetic retinopathy (DR) is the primary cause of vision loss among grownup people around the world. In four out of five cases having diabetes for a prolonged period leads to DR. If detected early, more than 90 percent of the new DR…

Computer Vision and Pattern Recognition · Computer Science 2020-06-16 Niloy Sikder , Md. Sanaullah Chowdhury , Abu Shamim Mohammad Arif , Abdullah-Al Nahid

Diabetic retinopathy is a leading cause of vision loss among adults and a major global health challenge, particularly in underserved regions. This study presents PerceptronCARE, a deep learning-based teleophthalmology application designed…

Computer Vision and Pattern Recognition · Computer Science 2025-09-25 Akwasi Asare , Isaac Baffour Senkyire , Emmanuel Freeman , Mary Sagoe , Simon Hilary Ayinedenaba Aluze-Ele , Kelvin Kwao

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

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 (DR) is the result of a complication of diabetes affecting the retina. It can cause blindness, if left undiagnosed and untreated. An ophthalmologist performs the diagnosis by screening each patient and analyzing the…

Image and Video Processing · Electrical Eng. & Systems 2021-10-18 Melissa delaPava , Hernán Ríos , Francisco J. Rodríguez , Oscar J. Perdomo , Fabio A. González

In recent years, deep learning (DL) techniques have provided state-of-the-art performance on different medical imaging tasks. However, the availability of good quality annotated medical data is very challenging due to involved time…

Machine Learning · Computer Science 2020-12-29 Muhammad Ahtazaz Ahsan , Adnan Qayyum , Junaid Qadir , Adeel Razi

Diabetic Retinopathy (DR) is a complication of long-standing, unchecked diabetes and one of the leading causes of blindness in the world. This paper focuses on improved and robust methods to extract some of the features of DR, viz. Blood…

Image and Video Processing · Electrical Eng. & Systems 2022-07-12 Soham Basu , Sayantan Mukherjee , Ankit Bhattacharya , Anindya Sen

This paper investigates the problem of domain adaptation for diabetic retinopathy (DR) grading. We learn invariant target-domain features by defining a novel self-supervised task based on retinal vessel image reconstructions, inspired by…

Computer Vision and Pattern Recognition · Computer Science 2021-07-21 Duy M. H. Nguyen , Truong T. N. Mai , Ngoc T. T. Than , Alexander Prange , Daniel Sonntag

Diabetic retinopathy (DR) is a complication of diabetes, and one of the major causes of vision impairment in the global population. As the early-stage manifestation of DR is usually very mild and hard to detect, an accurate diagnosis via…

Computer Vision and Pattern Recognition · Computer Science 2022-12-14 Yuhan Zheng , Fuping Wu , Bartłomiej W. Papież

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

There is an increasing number of medical use-cases where classification algorithms based on deep neural networks reach performance levels that are competitive with human medical experts. To alleviate the challenges of small dataset sizes,…

Computer Vision and Pattern Recognition · Computer Science 2021-06-28 Vignesh Srinivasan , Nils Strodthoff , Jackie Ma , Alexander Binder , Klaus-Robert Müller , Wojciech Samek