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Early detection of microaneurysms (MAs), the first sign of Diabetic Retinopathy (DR), is an essential first step in automated detection of DR to prevent vision loss and blindness. This study presents a novel and different algorithm for…

In this work, we propose a novel microaneurysm (MA) detection for early diabetic retinopathy screening using color fundus images. Since MA usually the first lesions to appear as an indicator of diabetic retinopathy, accurate detection of MA…

Computer Vision and Pattern Recognition · Computer Science 2016-07-19 Mrinal Haloi

Diabetic Retinopathy (DR) is a prominent cause of blindness in the world. The early treatment of DR can be conducted from detection of microaneurysms (MAs) which appears as reddish spots in retinal images. An automated microaneurysm…

Computer Vision and Pattern Recognition · Computer Science 2018-07-10 Noushin Eftekheri , Mojtaba Masoudi , Hamidreza Pourreza , Kamaledin Ghiasi Shirazi , Ehsan Saeedi

Imaging methods by using computer techniques provide doctors assistance at any time and relieve their workload, especially for iterative processes like identifying objects of interest such as lesions and anatomical structures from the…

Medical Physics · Physics 2020-04-22 Meysam Tavakoli , Sina Jazani , Mahdieh Nazar

Diabetic Retinopathy (DR) caused by diabetes occurs as a result of changes in the retinal vessels and causes visual impairment. Microaneurysms (MAs) are the early clinical signs of DR, whose timely diagnosis can help detecting DR in the…

Image and Video Processing · Electrical Eng. & Systems 2022-05-11 Elahe Sadat Kazemi Nasab , Ramin Almasi , Bijan Shoushtarian , Ehsan Golkar , Hossein Rabbani

Computer-Aided Diagnosis systems are required to extract suitable information about retina and its changes. In particular, identifying objects of interest such as lesions and anatomical structures from the retinal images is a challenging…

Medical Physics · Physics 2020-05-20 Meysam Tavakoli , Mahdieh Nazar , Alireza Mehdizadeh

Red-lesions, microaneurysms (MAs) and hemorrhages (HMs), are the early signs of diabetic retinopathy (DR). The automatic detection of MAs and HMs on retinal fundus images is a challenging task. Most of the existing methods detect either…

Image and Video Processing · Electrical Eng. & Systems 2025-05-02 Norah Asiri , Muhammad Hussain , Fadwa Al Adel

Alzheimer's disease (AD) is a progressive neurodegenerative disorder in which pathological changes begin many years before the onset of clinical symptoms, making early detection essential for timely intervention. T1-weighted (T1w) Magnetic…

Computer Vision and Pattern Recognition · Computer Science 2026-01-21 Jason Qiu

Retinal microaneurysms are the earliest clinical sign of diabetic retinopathy disease. Detection of microaneurysms is crucial for the early diagnosis of diabetic retinopathy and prevention of blindness. In this paper, a novel and reliable…

Computer Vision and Pattern Recognition · Computer Science 2018-05-09 Behdad Dashtbozorg , Jiong Zhang , Bart M. ter Haar Romeny

Microaneurysms (MAs) are one of the earliest signs of diabetic retinopathy (DR), a frequent complication of diabetes that can lead to visual impairment and blindness. Adaptive optics scanning laser ophthalmoscopy (AOSLO) provides real-time…

Image and Video Processing · Electrical Eng. & Systems 2021-06-29 Qian Zhang , Konstantina Sampani , Mengjia Xu , Shengze Cai , Yixiang Deng , He Li , Jennifer K. Sun , George Em Karniadakis

Diabetic Retinopathy (DR) is a leading cause of vision loss globally. Yet despite its prevalence, the majority of affected people lack access to the specialized ophthalmologists and equipment required for assessing their condition. This can…

Computer Vision and Pattern Recognition · Computer Science 2021-10-22 Alexandros Papadopoulos , Fotis Topouzis , Anastasios Delopoulos

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

This paper addresses the problem of identifying two main types of lesions - Exudates and Microaneurysms - caused by Diabetic Retinopathy (DR) in the eyes of diabetic patients. We make use of Convolutional Neural Networks (CNNs) and Transfer…

Computer Vision and Pattern Recognition · Computer Science 2020-07-07 Farzan Shenavarmasouleh , Hamid R. Arabnia

Anomaly detection in multivariate time series has emerged as a crucial challenge in time series research, with significant research implications in various fields such as fraud detection, fault diagnosis, and system state estimation.…

Machine Learning · Computer Science 2023-10-31 Chaocheng Yang , Tingyin Wang , Xuanhui Yan

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 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

The application of Artificial Intelligence in the medical market brings up increasing concerns but aids in more timely diagnosis of silent progressing diseases like Diabetic Retinopathy. In order to diagnose Diabetic Retinopathy (DR),…

Image and Video Processing · Electrical Eng. & Systems 2023-10-18 Sharan Subramanian , Leilani H. Gilpin

Diabetic retinopathy (DR) is a diabetes complication that affects eyes. DR is a primary cause of blindness in working-age people and it is estimated that 3 to 4 million people with diabetes are blinded by DR every year worldwide. Early…

Computer Vision and Pattern Recognition · Computer Science 2019-11-21 Qilei Chen , Xinzi Sun , Ning Zhang , Yu Cao , Benyuan Liu

Medical Imaging is one of the growing fields in the world of computer vision. In this study, we aim to address the Diabetic Retinopathy (DR) problem as one of the open challenges in medical imaging. In this research, we propose a new lesion…

Image and Video Processing · Electrical Eng. & Systems 2021-08-19 Farzan Shenavarmasouleh , Farid Ghareh Mohammadi , M. Hadi Amini , Thiab Taha , Khaled Rasheed , Hamid R. Arabnia

Magnetic resonance imaging (MRI), especially functional MRI (fMRI) and diffusion MRI (dMRI), is essential for studying neurodegenerative diseases. However, missing modalities pose a major barrier to their clinical use. Although GAN- and…

Computer Vision and Pattern Recognition · Computer Science 2025-11-10 Xiongri Shen , Jiaqi Wang , Yi Zhong , Zhenxi Song , Leilei Zhao , Yichen Wei , Lingyan Liang , Shuqiang Wang , Baiying Lei , Demao Deng , Zhiguo Zhang
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