Computerized retinal image analysis-a survey
K Mittal, VMA Rajam - Multimedia tools and Applications, 2020 - Springer
The speedy development of digital imaging and computer vision has extended the potential
of using these technologies in ophthalmology. Image processing systems are increasingly …
of using these technologies in ophthalmology. Image processing systems are increasingly …
Exudate detection in color retinal images for mass screening of diabetic retinopathy
The automatic detection of exudates in color eye fundus images is an important task in
applications such as diabetic retinopathy screening. The presented work has been …
applications such as diabetic retinopathy screening. The presented work has been …
Detection of exudates in fundus photographs using deep neural networks and anatomical landmark detection fusion
P Prentašić, S Lončarić - Computer methods and programs in biomedicine, 2016 - Elsevier
Background and objective Diabetic retinopathy is one of the leading disabling chronic
diseases and one of the leading causes of preventable blindness in developed world. Early …
diseases and one of the leading causes of preventable blindness in developed world. Early …
Applications of interpretability in deep learning models for ophthalmology
Interpretability methods support the transparency necessary to implement, operate and
modify complex deep learning models. These benefits are becoming increasingly …
modify complex deep learning models. These benefits are becoming increasingly …
A generalized method for the segmentation of exudates from pathological retinal fundus images
J Kaur, D Mittal - Biocybernetics and Biomedical Engineering, 2018 - Elsevier
Diabetic retinopathy, an asymptomatic complication of diabetes, is one of the leading causes
of blindness in the world. The exudates, abnormal leaked fatty deposits on retina, are one of …
of blindness in the world. The exudates, abnormal leaked fatty deposits on retina, are one of …
Automatic screening and classification of diabetic retinopathy and maculopathy using fuzzy image processing
Digital retinal imaging is a challenging screening method for which effective, robust and cost-
effective approaches are still to be developed. Regular screening for diabetic retinopathy …
effective approaches are still to be developed. Regular screening for diabetic retinopathy …
An enhanced residual U-Net for microaneurysms and exudates segmentation in fundus images
C Kou, W Li, Z Yu, L Yuan - IEEE Access, 2020 - ieeexplore.ieee.org
Diabetic retinopathy (DR) is a leading cause of visual blindness. However if DR can be
diagnosed and treated early, 90% of DR causing blindness can be prevented significantly …
diagnosed and treated early, 90% of DR causing blindness can be prevented significantly …
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 …
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 …
caused blindness can be prevented if diagnosed and intervened early. Retinal exudates can …
Automatic detection of exudates in digital color fundus images using superpixel multi-feature classification
Exudates can be regarded as one of the most prevalent clinical signs of diabetic retinopathy,
and the detection of exudates has important clinical significance in diabetic retinopathy …
and the detection of exudates has important clinical significance in diabetic retinopathy …