Retinal image classification by self-supervised fuzzy clustering network

Y Luo, J Pan, S Fan, Z Du, G Zhang - IEEE Access, 2020 - ieeexplore.ieee.org
Diabetic retinal image classification aims to conduct diabetic retinopathy automatically
diagnosing, which has achieved considerable improvement by deep learning models …

A lightweight robust deep learning model gained high accuracy in classifying a wide range of diabetic retinopathy images

MAK Raiaan, K Fatema, IU Khan, S Azam… - IEEE …, 2023 - ieeexplore.ieee.org
Diabetic retinopathy (DR) is a common complication of diabetes mellitus, and retinal blood
vessel damage can lead to vision loss and blindness if not recognized at an early stage …

Semi-supervised auto-encoder graph network for diabetic retinopathy grading

Y Li, Z Song, S Kang, S Jung, W Kang - IEEE Access, 2021 - ieeexplore.ieee.org
Diabetic Retinopathy (DR) causes quite a few blindness worldwide, which can be refrained
by the timely diagnosis on retinal images. Recently, researches on deep learning-based …

Hybrid graph convolutional network for semi-supervised retinal image classification

G Zhang, J Pan, Z Zhang, H Zhang, C Xing… - IEEE …, 2021 - ieeexplore.ieee.org
Diabetic Retinopathy (DR) causes a significant health threat to the patient's vision with
diabetic disease, which may result in blindness in severe situations. Various automatic DR …

Automatic diabetic retinopathy grading via self-knowledge distillation

L Luo, D Xue, X Feng - Electronics, 2020 - mdpi.com
Diabetic retinopathy (DR) is a common fundus disease that leads to irreversible blindness,
which plagues the working-age population. Automatic medical imaging diagnosis provides a …

A Wireless Sensor System for Diabetic Retinopathy Grading Using MobileViT-Plus and ResNet-Based Hybrid Deep Learning Framework

Z Wan, J Wan, W Cheng, J Yu, Y Yan, H Tan, J Wu - Applied Sciences, 2023 - mdpi.com
Traditional fundus image-based diabetic retinopathy (DR) grading depends on the
examiner's experience, requiring manual annotations on the fundus image and also being …

Federated transfer learning for diabetic retinopathy detection using CNN architectures

M Nasajpour, M Karakaya, S Pouriyeh… - SoutheastCon …, 2022 - ieeexplore.ieee.org
Diabetic Retinopathy is a complication of diabetes that could cause vision loss or even
blindness if not detected in the early stages. As a result, having a regular eye exam is critical …

Multi-point attention-based semi-supervised learning for diabetic retinopathy classification

C Zhang, P Chen, T Lei - Biomedical Signal Processing and Control, 2023 - Elsevier
In recent years, the severity classification of some well-known diseases has gradually
become a focus of researchers, especially diabetic retinopathy (DR) recognition caused by …

Deep learning techniques for diabetic retinopathy classification: A survey

MZ Atwany, AH Sahyoun, M Yaqub - IEEE Access, 2022 - ieeexplore.ieee.org
Diabetic Retinopathy (DR) is a degenerative disease that impacts the eyes and is a
consequence of Diabetes mellitus, where high blood glucose levels induce lesions on the …

Referable diabetic retinopathy identification from eye fundus images with weighted path for convolutional neural network

YP Liu, Z Li, C Xu, J Li, R Liang - Artificial intelligence in medicine, 2019 - Elsevier
Diabetic retinopathy (DR) is the most common cause of blindness in middle-age subjects
and low DR screening rates demonstrates the need for an automated image assessment …