Deep learning and medical image processing techniques for diabetic retinopathy: a survey of applications, challenges, and future trends
Diabetic retinopathy (DR) is a common eye retinal disease that is widely spread all over the
world. It leads to the complete loss of vision based on the level of severity. It damages both …
world. It leads to the complete loss of vision based on the level of severity. It damages both …
A systematic review on diabetic retinopathy detection using deep learning techniques
Segmentation is an essential requirement to accurately access diabetic retinopathy (DR)
and it becomes extremely time-consuming and challenging to detect manually. As a result …
and it becomes extremely time-consuming and challenging to detect manually. As a result …
Automated diabetic retinopathy detection using horizontal and vertical patch division-based pre-trained DenseNET with digital fundus images
Diabetic retinopathy (DR) is a common complication of diabetes that can lead to progressive
vision loss. Regular surveillance with fundal photography, early diagnosis, and prompt …
vision loss. Regular surveillance with fundal photography, early diagnosis, and prompt …
Multitasking deep learning model for detection of five stages of diabetic retinopathy
Early diagnosis and treatment of diabetic retinopathy (DR) can reduce the risk of vision loss.
There are five stages of DR consisting of no DR, mild DR, moderate DR, severe DR, and …
There are five stages of DR consisting of no DR, mild DR, moderate DR, severe DR, and …
Using deep learning architectures for detection and classification of diabetic retinopathy
Diabetic retinopathy (DR) is a common complication of long-term diabetes, affecting the
human eye and potentially leading to permanent blindness. The early detection of DR is …
human eye and potentially leading to permanent blindness. The early detection of DR is …
An active deep learning method for diabetic retinopathy detection in segmented fundus images using artificial bee colony algorithm
E Özbay - Artificial Intelligence Review, 2023 - Springer
Retinal fundus image analysis (RFIA) is frequently used in diabetic retinopathy (DR) scans
to determine the risk of blindness in diabetic patients. Ophthalmologists receive support from …
to determine the risk of blindness in diabetic patients. Ophthalmologists receive support from …
Diabetic retinopathy detection and classification using mixed models for a disease grading database
Diabetic retinopathy (DR) is a primary cause of blindness in which damage occurs to the
retina due to an accretion of sugar levels in the blood. Therefore, prior detection …
retina due to an accretion of sugar levels in the blood. Therefore, prior detection …
Retinal image analysis for diabetes-based eye disease detection using deep learning
Diabetic patients are at the risk of develo** different eye diseases ie, diabetic retinopathy
(DR), diabetic macular edema (DME) and glaucoma. DR is an eye disease that harms the …
(DR), diabetic macular edema (DME) and glaucoma. DR is an eye disease that harms the …
A novel computer-aided diagnostic system for early detection of diabetic retinopathy using 3D-OCT higher-order spatial appearance model
Early diagnosis of diabetic retinopathy (DR) is of critical importance to suppress severe
damage to the retina and/or vision loss. In this study, an optical coherence tomography …
damage to the retina and/or vision loss. In this study, an optical coherence tomography …
[PDF][PDF] A Convolutional Neural Network Classifier VGG-19 Architecture for Lesion Detection and Grading in Diabetic Retinopathy Based on Deep Learning.
V Sudha, TR Ganeshbabu - Computers, Materials & Continua, 2021 - cdn.techscience.cn
Diabetic Retinopathy (DR) is a type of disease in eyes as a result of a diabetic condition that
ends up damaging the retina, leading to blindness or loss of vision. Morphological and …
ends up damaging the retina, leading to blindness or loss of vision. Morphological and …