Overcoming nonlinear dynamics in diabetic retinopathy classification: a robust AI-based model with chaotic swarm intelligence optimization and recurrent long short …

YB Özçelik, A Altan - Fractal and Fractional, 2023 - mdpi.com
Diabetic retinopathy (DR), which is seen in approximately one-third of diabetes patients
worldwide, leads to irreversible vision loss and even blindness if not diagnosed and treated …

Deep transfer learning approaches for Monkeypox disease diagnosis

MM Ahsan, MR Uddin, MS Ali, MK Islam… - Expert Systems with …, 2023 - Elsevier
Monkeypox has become a significant global challenge as the number of cases increases
daily. Those infected with the disease often display various skin symptoms and can spread …

[HTML][HTML] Artificial intelligence for diabetic retinopathy detection: a systematic review

A Senapati, HK Tripathy, V Sharma… - Informatics in Medicine …, 2024 - Elsevier
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 …

Application of Artificial Intelligence for Classification, Segmentation, Early Detection, Early Diagnosis, and Grading of Diabetic Retinopathy From Fundus Retinal …

G Rajarajeshwari, GC Selvi - IEEE Access, 2024 - ieeexplore.ieee.org
Diabetic Retinopathy (DR) remains a major factor contributing to vision loss worldwide,
particularly among individuals with diabetes. Timely and accurate diagnosis of DR is …

EdgeSVDNet: 5G-enabled detection and classification of vision-threatening diabetic retinopathy in retinal fundus images

A Bilal, X Liu, TI Baig, H Long, M Shafiq - Electronics, 2023 - mdpi.com
The rise of vision-threatening diabetic retinopathy (VTDR) underscores the imperative for
advanced and efficient early detection mechanisms. With the integration of the Internet of …

Convolutional Neural Networks for Automated Diagnosis of Diabetic Retinopathy in Fundus Images

SR Krishna, N Cherukuri, YD Kumar… - Journal of Artificial …, 2023 - ojs.istp-press.com
Diabetic retinopathy (DR), a long-term complication of diabetes, is notoriously hard to detect
in its early stages due to the fact that it only shows a subset of symptoms. Standard …

Diabetic retinopathy detection and severity classification using optimized deep learning with explainable AI technique

B Lalithadevi, S Krishnaveni - Multimedia Tools and Applications, 2024 - Springer
Diabetic Retinopathy (DR) is a serious consequence of prolonged diabetic patients that
causes vision threatening issues and irreversible blindness problem. In the beginning stage …

A comprehensive review of diabetic retinopathy detection and grading based on deep learning and metaheuristic optimization techniques

AM Dayana, WRS Emmanuel - Archives of Computational Methods in …, 2023 - Springer
Diabetic retinopathy (DR) is a microvascular disorder that causes retinal damage and
irreversible blindness. It is a condition instigated by prolonged Diabetes Mellitus. According …

Computationally efficient deep learning models for diabetic retinopathy detection: a systematic literature review

NU Haq, T Waheed, K Ishaq, MA Hassan… - Artificial Intelligence …, 2024 - Springer
Diabetic retinopathy, often resulting from conditions like diabetes and hypertension, is a
leading cause of blindness globally. With diabetes affecting millions worldwide and …

Common latent embedding space for cross-domain facial expression recognition

R Wang, P Song, S Li, L Ji… - IEEE Transactions on …, 2023 - ieeexplore.ieee.org
In practical facial expression recognition (FER), the training data and test data are often
obtained from different domains. It is obvious that the domain disparity could significantly …