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Diabetic retinopathy (DR) is a major cause of visual impairment, and effective treatment options depend heavily on timely and accurate diagnosis. Deep learning models have demonstrated great success identifying DR from retinal images.…

图像与视频处理 · 电气工程与系统科学 2025-10-02 Madhushan Ramalingam , Yaish Riaz , Priyanthi Rajamanoharan , Piyumi Dasanayaka

Diabetic retinopathy (DR) is one of the major blindness-causing diseases currently known. Automatic grading of DR using deep learning methods not only speeds up the diagnosis of the disease but also reduces the rate of misdiagnosis.…

图像与视频处理 · 电气工程与系统科学 2023-05-25 Lei Shi , Bin Wang , Junxing Zhang

Diabetes is a chronic disease characterized by excess sugar in the blood and affects 422 million people worldwide, including 3.3 million in France. One of the frequent complications of diabetes is diabetic retinopathy (DR): it is the…

Retinoblastoma is the most prominent childhood primary intraocular malignancy that impacts the vision of children and adults worldwide. In contrasting and comparing with adults it is uveal melanoma. It is an aggressive tumor that can fill…

图像与视频处理 · 电气工程与系统科学 2021-03-16 C. Anand Deva Durai , T Jemima Jebaseeli , Salem Alelyani , Azath Mubharakali

In this paper, a method is presented for superimposition (i.e. registration) of eye fundus images from persons with diabetes screened over many years for diabetic retinopathy. The method is fully automatic and robust to camera changes and…

计算机视觉与模式识别 · 计算机科学 2018-11-28 Guillaume Noyel , Rebecca Thomas , Gavin Bhakta , Andrew Crowder , David Owens , Peter Boyle

Fundus photography is the primary method for retinal imaging and essential for diabetic retinopathy prevention. Automated segmentation of fundus photographs would improve the quality, capacity, and cost-effectiveness of eye care screening…

图像与视频处理 · 电气工程与系统科学 2021-08-29 Jan Kukačka , Anja Zenz , Marcel Kollovieh , Dominik Jüstel , Vasilis Ntziachristos

The retina is an essential component of the visual system, and maintaining eyesight depends on the timely and accurate detection of disorders. The early-stage detection and severity classification of Diabetic Retinopathy (DR), a significant…

Diabetic retinopathy is the most important complication of diabetes. Early diagnosis of retinal lesions helps to avoid visual loss or blindness. Due to high-resolution and small-size lesion regions, applying existing methods, such as…

计算机视觉与模式识别 · 计算机科学 2019-01-21 Zizheng Yan , Xiaoguang Han , Changmiao Wang , Yuda Qiu , Zixiang Xiong , Shuguang Cui

Retinal disease diagnosis is critical in preventing vision loss and reducing socioeconomic burdens. Globally, over 2.2 billion people are affected by some form of vision impairment, resulting in annual productivity losses estimated at $411…

计算机视觉与模式识别 · 计算机科学 2025-09-30 Youssef Sabiri , Walid Houmaidi , Amine Abouaomar

Diabetes-related retinal conditions can be detected by examining the posterior of the eye. By contrast, examining the anterior of the eye can reveal conditions affecting the front of the eye, such as changes to the eyelids, cornea, or…

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…

图像与视频处理 · 电气工程与系统科学 2021-06-04 Aditya Jyoti Paul

Diabetic retinopathy (DR) is a retinal microvascular condition that emerges in diabetic patients. DR will continue to be a leading cause of blindness worldwide, with a predicted 191.0 million globally diagnosed patients in 2030.…

计算机视觉与模式识别 · 计算机科学 2020-10-23 Mihir Rao , Michelle Zhu , Tianyang Wang

Diabetic retinopathy (DR) is a leading cause of vision impairment worldwide, and automated grading systems play a crucial role in large-scale screening programs. However, deep learning models often exhibit degraded performance when deployed…

计算机视觉与模式识别 · 计算机科学 2026-04-21 Afshan Hashmi

Replication studies are essential for validation of new methods, and are crucial to maintain the high standards of scientific publications, and to use the results in practice. We have attempted to replicate the main method in 'Development…

计算机视觉与模式识别 · 计算机科学 2019-06-19 Mike Voets , Kajsa Møllersen , Lars Ailo Bongo

Diabetic retinopathy (DR) is caused by long-standing diabetes and is among the fifth leading cause for visual impairments. The process of early diagnosis and treatments could be helpful in curing the disease, however, the detection…

计算机视觉与模式识别 · 计算机科学 2023-10-30 Chamuditha Jayanga Galappaththige , Gayal Kuruppu , Muhammad Haris Khan

Diabetic retinopathy (DR) is a leading global cause of blindness. Early detection of hard exudates plays a crucial role in identifying DR, which aids in treating diabetes and preventing vision loss. However, the unique characteristics of…

图像与视频处理 · 电气工程与系统科学 2024-03-05 Wei Tang , Kangning Cui , Raymond H. Chan

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…

计算机视觉与模式识别 · 计算机科学 2024-06-11 Peng Xia , Ming Hu , Feilong Tang , Wenxue Li , Wenhao Zheng , Lie Ju , Peibo Duan , Huaxiu Yao , Zongyuan Ge

Diabetic retinopathy (DR) is a primary cause of blindness in working-age people worldwide. About 3 to 4 million people with diabetes become blind because of DR every year. Diagnosis of DR through color fundus images is a common approach to…

计算机视觉与模式识别 · 计算机科学 2020-03-27 Qilei Chen , Ping Liu , Jing Ni , Yu Cao , Benyuan Liu , Honggang Zhang

Diabetic retinopathy (DR), a microvascular complication of diabetes and a leading cause of preventable blindness, is projected to affect more than 130 million individuals worldwide by 2030. Early identification is essential to reduce…

定量方法 · 定量生物学 2025-11-12 Jophy Lin

Diabetic retinopathy is one of the leading causes of preventable blindness in the world. Its earliest sign are red lesions, a general term that groups both microaneurysms and hemorrhages. In daily clinical practice, these lesions are…

计算机视觉与模式识别 · 计算机科学 2017-10-16 José Ignacio Orlando , Elena Prokofyeva , Mariana del Fresno , Matthew B. Blaschko