Deep learning in automatic diabetic retinopathy detection and grading systems: a comprehensive survey and comparison of methods
Diabetic Retinopathy is one of the leading global causes of vision impairment and blindness
in humans. It has seen a rise in prevalence, necessitating the development of advanced …
in humans. It has seen a rise in prevalence, necessitating the development of advanced …
[HTML][HTML] Artificial intelligence for diabetic retinopathy detection: a systematic review
The incidence of diabetic retinopathy (DR) has increased at a rapid pace in recent years all
over the world. Diabetic eye illness is identified as one of the most common reasons for …
over the world. Diabetic eye illness is identified as one of the most common reasons for …
Improved ResNet_101 assisted attentional global transformer network for automated detection and classification of diabetic retinopathy disease
S Karthika, M Durgadevi - Biomedical Signal Processing and Control, 2024 - Elsevier
An essential complication of the diabetes disease is termed as Diabetic Retinopathy (DR),
and it leads visual impairment in long-term vision. In general, DR is a kind of eye disease …
and it leads visual impairment in long-term vision. In general, DR is a kind of eye disease …
Machine learning for food security: current status, challenges, and future perspectives
A significant amount of study has been conducted on food security forecasting, yet, few
systematic reviews of the literature in this context are available. Recently, Machine Learning …
systematic reviews of the literature in this context are available. Recently, Machine Learning …
Automated microaneurysms detection in retinal images using SSA optimised U-Net and Bayesian optimised CNN
S Steffi - Computer Methods in Biomechanics and Biomedical …, 2023 - Taylor & Francis
Diabetic retinopathy (DR) is a cause of vision loss and blindness, and early detection of red
lesions, particularly microaneurysms (MAs), is crucial to prevent its progression. In this study …
lesions, particularly microaneurysms (MAs), is crucial to prevent its progression. In this study …
Neighbored-attention U-net (NAU-net) for diabetic retinopathy image segmentation
T Zhao, Y Guan, D Tu, L Yuan, G Lu - Frontiers in Medicine, 2023 - frontiersin.org
Background Diabetic retinopathy-related (DR-related) diseases are posing an increasing
threat to eye health as the number of patients with diabetes mellitus that are young …
threat to eye health as the number of patients with diabetes mellitus that are young …
Hard Exudates Segmentation in Diabetic retinopathy using DiaRetDB1
M Yinghua, Y Heng, R Amarnath, Z Hui - IEEE Access, 2024 - ieeexplore.ieee.org
Diabetic retinopathy (DR) poses a major challenge in vision care, often leading to partial or
complete limited vision in adults. Early and accurate detection of DR is essential for timely …
complete limited vision in adults. Early and accurate detection of DR is essential for timely …
[HTML][HTML] A Miniaturized Large-Field Fundus Optical System Based on Aspheric Imaging and Non-Coaxial Illumination
S Liu, A Ge, J Wu, Q Wang - Applied Sciences, 2024 - mdpi.com
Many diseases produce pathological changes in the fundus; analyzing the retinopathy of the
fundus could help diagnose diseases in time. A fundus camera is a medical imaging device …
fundus could help diagnose diseases in time. A fundus camera is a medical imaging device …