Diabetic retinopathy techniques in retinal images: A review

N Salamat, MMS Missen, A Rashid - Artificial intelligence in medicine, 2019 - Elsevier
The diabetic retinopathy is the main reason of vision loss in people. Medical experts
recognize some clinical, geometrical and haemodynamic features of diabetic retinopathy …

A review on recent developments for detection of diabetic retinopathy

J Amin, M Sharif, M Yasmin - Scientifica, 2016 - Wiley Online Library
Diabetic retinopathy is caused by the retinal micro vasculature which may be formed as a
result of diabetes mellitus. Blindness may appear as a result of unchecked and severe cases …

[HTML][HTML] Exudate detection in fundus images using deeply-learnable features

P Khojasteh, LAP Júnior, T Carvalho… - Computers in biology …, 2019 - Elsevier
Presence of exudates on a retina is an early sign of diabetic retinopathy, and automatic
detection of these can improve the diagnosis of the disease. Convolutional Neural Networks …

Exudate-based diabetic macular edema recognition in retinal images using cascaded deep residual networks

J Mo, L Zhang, Y Feng - Neurocomputing, 2018 - Elsevier
Diabetic macular edema (DME), one of the leading causes of visual impairment and
blindness, is usually diagnosed by the presence of exudates. However, exudate detection is …

Multiscale segmentation of exudates in retinal images using contextual cues and ensemble classification

MM Fraz, W Jahangir, S Zahid, MM Hamayun… - … Signal Processing and …, 2017 - Elsevier
Diabetic Retinopathy (DR) is the one among other main reasons of blindness in the adult
population. Early discovery of DR through screening programs and successive treatment is …

Survey on recent developments in automatic detection of diabetic retinopathy

A Bilal, G Sun, S Mazhar - Journal Français d'Ophtalmologie, 2021 - Elsevier
Diabetic retinopathy (DR) is a disease facilitated by the rapid spread of diabetes worldwide.
DR can blind diabetic individuals. Early detection of DR is essential to restoring vision and …

A novel method for retinal exudate segmentation using signal separation algorithm

E Imani, HR Pourreza - Computer methods and programs in biomedicine, 2016 - Elsevier
Diabetic retinopathy is one of the major causes of blindness in the world. Early diagnosis of
this disease is vital to the prevention of visual loss. The analysis of retinal lesions such as …

Automatic exudate detection by fusing multiple active contours and regionwise classification

B Harangi, A Hajdu - Computers in biology and medicine, 2014 - Elsevier
In this paper, we propose a method for the automatic detection of exudates in digital fundus
images. Our approach can be divided into three stages: candidate extraction, precise …

U-net based method for automatic hard exudates segmentation in fundus images using inception module and residual connection

Y Zong, J Chen, L Yang, S Tao, C Aoma, J Zhao… - IEEE …, 2020 - ieeexplore.ieee.org
Diabetic retinopathy (DR) is an eye abnormality caused by chronic diabetes that affected
patients worldwide. Hard exudate is an important and observable sign of DR and can be …

Detection of exudates in fundus photographs with imbalanced learning using conditional generative adversarial network

R Zheng, L Liu, S Zhang, C Zheng, F Bunyak… - Biomedical optics …, 2018 - opg.optica.org
Diabetic retinopathy (DR) is a leading cause of blindness worldwide. However, 90% of DR
caused blindness can be prevented if diagnosed and intervened early. Retinal exudates can …