CANet: cross-disease attention network for joint diabetic retinopathy and diabetic macular edema grading

X Li, X Hu, L Yu, L Zhu, CW Fu… - IEEE transactions on …, 2019 - ieeexplore.ieee.org
Diabetic retinopathy (DR) and diabetic macular edema (DME) are the leading causes of
permanent blindness in the working-age population. Automatic grading of DR and DME …

CABNet: Category attention block for imbalanced diabetic retinopathy grading

A He, T Li, N Li, K Wang, H Fu - IEEE Transactions on Medical …, 2020 - ieeexplore.ieee.org
Diabetic Retinopathy (DR) grading is challenging due to the presence of intra-class
variations, small lesions and imbalanced data distributions. The key for solving fine-grained …

Attention-driven cascaded network for diabetic retinopathy grading from fundus images

G Yue, Y Li, T Zhou, X Zhou, Y Liu, T Wang - Biomedical Signal Processing …, 2023 - Elsevier
Recently, academic and clinical communities have paid increasing attention to design
computer-aided diagnosis methods for automatic and accurate diabetic retinopathy (DR) …

Lesion-attention pyramid network for diabetic retinopathy grading

X Li, Y Jiang, J Zhang, M Li, H Luo, S Yin - Artificial Intelligence in Medicine, 2022 - Elsevier
As one of the most common diabetic complications, diabetic retinopathy (DR) can cause
retinal damage, vision loss and even blindness. Automated DR grading technology has …

Joint learning of multi-level tasks for diabetic retinopathy grading on low-resolution fundus images

X Wang, M Xu, J Zhang, L Jiang, L Li… - IEEE Journal of …, 2021 - ieeexplore.ieee.org
Diabetic retinopathy (DR) is a leading cause of permanent blindness among the working-
age people. Automatic DR grading can help ophthalmologists make timely treatment for …

A benchmark for studying diabetic retinopathy: segmentation, grading, and transferability

Y Zhou, B Wang, L Huang, S Cui… - IEEE Transactions on …, 2020 - ieeexplore.ieee.org
People with diabetes are at risk of developing an eye disease called diabetic retinopathy
(DR). This disease occurs when high blood glucose levels cause damage to blood vessels …

Automatic severity classification of diabetic retinopathy based on densenet and convolutional block attention module

MM Farag, M Fouad, AT Abdel-Hamid - IEEE Access, 2022 - ieeexplore.ieee.org
Diabetic Retinopathy (DR)-a complication developed due to heightened blood glucose
levels-is deemed one of the most sight-threatening diseases. Unfortunately, DR screening is …

Lesion-aware transformers for diabetic retinopathy grading

R Sun, Y Li, T Zhang, Z Mao, F Wu… - Proceedings of the …, 2021 - openaccess.thecvf.com
Diabetic retinopathy (DR) is the leading cause of permanent blindness in the working-age
population. And automatic DR diagnosis can assist ophthalmologists to design tailored …

Robust collaborative learning of patch-level and image-level annotations for diabetic retinopathy grading from fundus image

Y Yang, F Shang, B Wu, D Yang… - IEEE Transactions …, 2021 - ieeexplore.ieee.org
Diabetic retinopathy (DR) grading from fundus images has attracted increasing interest in
both academic and industrial communities. Most convolutional neural network-based …

[HTML][HTML] Diabetic retinopathy grading by deep graph correlation network on retinal images without manual annotations

G Zhang, B Sun, Z Chen, Y Gao, Z Zhang, K Li… - Frontiers in …, 2022 - frontiersin.org
Background Diabetic retinopathy, as a severe public health problem associated with vision
loss, should be diagnosed early using an accurate screening tool. While many previous …