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 …
irreversible blindness. It is a condition instigated by prolonged Diabetes Mellitus. According …
[HTML][HTML] An advanced deep neural network for fundus image analysis and enhancing diabetic retinopathy detection
Diabetic retinopathy (DR) involves retina damage due to diabetes, often leading to
blindness. It is diagnosed via color fundus injections, but the manual analysis is …
blindness. It is diagnosed via color fundus injections, but the manual analysis is …
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 …
particularly among individuals with diabetes. Timely and accurate diagnosis of DR is …
Ensembled Deep Convolutional Generative Adversarial Network for Grading Imbalanced Diabetic Retinopathy Recognition
Diabetic Retinopathy (DR) is one of the leading causes of blindness and vision loss
worldwide. According to the International Diabetes Federation (IDF), approximately one-third …
worldwide. According to the International Diabetes Federation (IDF), approximately one-third …
Optimized deep CNN for detection and classification of diabetic retinopathy and diabetic macular edema
V Thanikachalam, K Kabilan, SK Erramchetty - BMC Medical Imaging, 2024 - Springer
Abstract Diabetic Retinopathy (DR) and Diabetic Macular Edema (DME) are vision related
complications prominently found in diabetic patients. The early identification of DR/DME …
complications prominently found in diabetic patients. The early identification of DR/DME …
Multi-Stream Deep Convolution Neural Network With Ensemble Learning for Facial Micro-Expression Recognition
Micro-expression recognition has gained much attention in research communities. Among
its proposed solutions, deep learning approaches have shown promising results over the …
its proposed solutions, deep learning approaches have shown promising results over the …
Revolutionizing diabetic retinopathy diagnosis through advanced deep learning techniques: Harnessing the power of GAN model with transfer learning and the …
Diabetic Retinopathy (DR) presents a substantial risk to vision, underscoring the critical
necessity for prompt identification and timely intervention to avert visual decline …
necessity for prompt identification and timely intervention to avert visual decline …
A refined ResNet18 architecture with Swish activation function for Diabetic Retinopathy classification
S Sunkari, A Sangam, M Suchetha, R Raman… - … Signal Processing and …, 2024 - Elsevier
Abstract Automatic detection of Diabetic Retinopathy (DR) is critically important, as it is the
primary reason of irreversible loss of vision in the economically active populations in the …
primary reason of irreversible loss of vision in the economically active populations in the …
Diabetic retinopathy detection using developed hybrid cascaded multi-scale DCNN with hybrid heuristic strategy
AAA Tabtaba, O Ata - Biomedical Signal Processing and Control, 2024 - Elsevier
Abstract In recent times, Diabetic Retinopathy (DR) is the most inevitable ailment caused by
high blood sugar levels in humans. Conversely, the detection process is accomplished by …
high blood sugar levels in humans. Conversely, the detection process is accomplished by …
Toward Lightweight Diabetic Retinopathy Classification: A Knowledge Distillation Approach for Resource-Constrained Settings
Diabetic retinopathy (DR), a consequence of diabetes, is one of the prominent contributors
to blindness. Effective intervention necessitates accurate classification of DR; this is a need …
to blindness. Effective intervention necessitates accurate classification of DR; this is a need …