Classification and segmentation of diabetic retinopathy: a systemic review
Diabetic retinopathy (DR) is a major reason of blindness around the world. The
ophthalmologist manually analyzes the morphological alterations in veins of retina, and …
ophthalmologist manually analyzes the morphological alterations in veins of retina, and …
Classification of diabetic retinopathy with feature selection over deep features using nature-inspired wrapper methods
M Canayaz - Applied Soft Computing, 2022 - Elsevier
Diabetic retinopathy (DR) is the most common cause of blindness in middle-aged people. It
shows that an automatic image evaluation system is needed in the diagnosis of this disease …
shows that an automatic image evaluation system is needed in the diagnosis of this disease …
[HTML][HTML] Fundus-deepnet: Multi-label deep learning classification system for enhanced detection of multiple ocular diseases through data fusion of fundus images
Detecting multiple ocular diseases in fundus images is crucial in ophthalmic diagnosis. This
study introduces the Fundus-DeepNet system, an automated multi-label deep learning …
study introduces the Fundus-DeepNet system, an automated multi-label deep learning …
Dynamic neural network models for time-varying problem solving: a survey on model structures
C Hua, X Cao, Q Xu, B Liao, S Li - IEEE Access, 2023 - ieeexplore.ieee.org
In recent years, neural networks have become a common practice in academia for handling
complex problems. Numerous studies have indicated that complex problems can generally …
complex problems. Numerous studies have indicated that complex problems can generally …
Using deep learning architectures for detection and classification of diabetic retinopathy
Diabetic retinopathy (DR) is a common complication of long-term diabetes, affecting the
human eye and potentially leading to permanent blindness. The early detection of DR is …
human eye and potentially leading to permanent blindness. The early detection of DR is …
Deep Learning-based prediction of Diabetic Retinopathy using CLAHE and ESRGAN for Enhancement
Vision loss can be avoided if diabetic retinopathy (DR) is diagnosed and treated promptly.
The main five DR stages are none, moderate, mild, proliferate, and severe. In this study, a …
The main five DR stages are none, moderate, mild, proliferate, and severe. In this study, a …
Detection of diabetic retinopathy using convolutional neural networks for feature extraction and classification (DRFEC)
Diabetic Retinopathy (DR) is caused as a result of Diabetes Mellitus which causes
development of various retinal abrasions in the human retina. These lesions cause …
development of various retinal abrasions in the human retina. These lesions cause …
Analysis of diabetic retinopathy (DR) based on the deep learning
If Diabetic Retinopathy (DR) patients do not receive quick diagnosis and treatment, they may
lose vision. DR, an eye disorder caused by high blood glucose, is becoming more prevalent …
lose vision. DR, an eye disorder caused by high blood glucose, is becoming more prevalent …
Development of revised ResNet-50 for diabetic retinopathy detection
CL Lin, KC Wu - BMC bioinformatics, 2023 - Springer
Background Diabetic retinopathy (DR) produces bleeding, exudation, and new blood vessel
formation conditions. DR can damage the retinal blood vessels and cause vision loss or …
formation conditions. DR can damage the retinal blood vessels and cause vision loss or …
Explainable AI for retinoblastoma diagnosis: interpreting deep learning models with LIME and SHAP
Retinoblastoma is a rare and aggressive form of childhood eye cancer that requires prompt
diagnosis and treatment to prevent vision loss and even death. Deep learning models have …
diagnosis and treatment to prevent vision loss and even death. Deep learning models have …