A Comprehensive Survey on the Detection of Diabetic Retinopathy
Diabetic Retinopathy (DR) is one of the sight-threatening diseases entered the top 10
diseases that cause death worldwide. There has been tremendous growth in diabetic …
diseases that cause death worldwide. There has been tremendous growth in diabetic …
A Systematic Review on Deep Learning Techniques for Diabetic Retinopathy Segmentation and Detection Using Ocular Imaging Modalities
Diabetic Retinopathy (DR) is a rapidly growing consequence of diabetes mellitus globally.
DR causes lesions that can cause blindness if untreated. The significant advancement in …
DR causes lesions that can cause blindness if untreated. The significant advancement in …
Diabetic Retinopathy Classification With Deep Learning via Fundus Images: A Short Survey
S Zhu, C Xiong, Q Zhong, Y Yao - IEEE Access, 2024 - ieeexplore.ieee.org
Diabetic retinopathy (DR) is a microvascular disease that is associated with diabetes
mellitus. DR can cause irreversible vision loss and low vision. DR classification, that is, early …
mellitus. DR can cause irreversible vision loss and low vision. DR classification, that is, early …
[HTML][HTML] A graph convolutional network with dynamic weight fusion of multi-scale local features for diabetic retinopathy grading
Y Wang, L Wang, Z Guo, S Song, Y Li - Scientific Reports, 2024 - nature.com
Diabetic retinopathy (DR) is a serious ocular complication that can pose a serious risk to a
patient's vision and overall health. Currently, the automatic grading of DR is mainly using …
patient's vision and overall health. Currently, the automatic grading of DR is mainly using …
MediDRNet: Tackling category imbalance in diabetic retinopathy classification with dual-branch learning and prototypical contrastive learning
Abstract Background and Objective: The classification of diabetic retinopathy (DR) aims to
utilize the implicit information in images for early diagnosis, to prevent and mitigate the …
utilize the implicit information in images for early diagnosis, to prevent and mitigate the …
Graph-based multi-level feature fusion network for diabetic retinopathy grading using ultra-wide-field images
Diabetic Retinopathy (DR) grading plays an important role for early intervention in managing
the disease. However, conventional grading methods predominantly rely on traditional color …
the disease. However, conventional grading methods predominantly rely on traditional color …
MM-Retinal: Knowledge-Enhanced Foundational Pretraining with Fundus Image-Text Expertise
Current fundus image analysis models are predominantly built for specific tasks relying on
individual datasets. The learning process is usually based on data-driven paradigm without …
individual datasets. The learning process is usually based on data-driven paradigm without …
Automated analysis of fundus images for the diagnosis of retinal diseases: a review
Purpose Colour fundus images are widely used in diagnosis treatment decision of several
retinal diseases such as diabetic retinopathy (DR), glaucoma and age-related macular …
retinal diseases such as diabetic retinopathy (DR), glaucoma and age-related macular …
Two-stage deep learning classification for diabetic retinopathy using gradient weighted class activation mapping
The fundus images of patients with Diabetic Retinopathy (DR) often display numerous
lesions scattered across the retina. Current methods typically utilize the entire image for …
lesions scattered across the retina. Current methods typically utilize the entire image for …
[PDF][PDF] Enhanced diabetic retinopathy detection and classification using fundus images with ResNet50 and CLAHE-GAN
S Bhoopal, M Rao, CH Krishnappa - Indonesian Journal of …, 2024 - researchgate.net
Diabetic retinopathy (DR), a progressive eye disorder, can lead to irreversible vision
impairment ranging from no DR to severe DR, necessitating precise identification for early …
impairment ranging from no DR to severe DR, necessitating precise identification for early …