[HTML][HTML] A systematic review of retinal fundus image segmentation and classification methods using convolutional neural networks

AE Ilesanmi, T Ilesanmi, GA Gbotoso - Healthcare Analytics, 2023 - Elsevier
Retinal fundus images play a crucial role in the early detection of eye problems, aiding in
timely diagnosis and treatment to prevent vision loss or blindness. With advancements in …

[HTML][HTML] An advanced deep neural network for fundus image analysis and enhancing diabetic retinopathy detection

FMJM Shamrat, R Shakil, B Akter, MZ Ahmed… - Healthcare …, 2024 - Elsevier
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 …

A novel deep learning model for diabetic retinopathy detection in retinal fundus images using pre-trained CNN and HWBLSTM

SV Hemanth, S Alagarsamy… - Journal of Biomolecular …, 2024 - Taylor & Francis
Diabetic retinopathy (DR) is a global visual indicator of diabetes that leads to blindness and
loss of vision. Manual testing presents a more difficult task when attempting to detect DR due …

[HTML][HTML] A hybrid approach with customized machine learning classifiers and multiple feature extractors for enhancing diabetic retinopathy detection

IA Taifa, DM Setu, T Islam, SK Dey, T Rahman - Healthcare Analytics, 2024 - Elsevier
Diabetic retinopathy (DR) is a severe global issue causing blindness if untreated, affecting
millions worldwide and worsening over time. Addressing this growing concern necessitates …

Earlier smart prediction of diabetic retinopathy from fundus image under innovative ResNet optimization maneuver

SS Sunil, AS Vindhya - Robotica, 2024 - cambridge.org
Diabetic retinopathy (DR) is a complication of diabetes that causes blindness and the early
detection of diabetics using retinopathy images remains a challenging task. Hence, a novel …

Beyond Vision: Unveiling The Potential of AI and IOT in Diabetic Retinopathy Diagnosis

BS Bhuvanachandran, AMA Bhamini… - 2024 7th International …, 2024 - ieeexplore.ieee.org
In recent years, the integration of Artificial Intelligence (AI) and the Internet of Things (IoT)
has shown tremendous potential for transformative advancements in healthcare. Traditional …

Customized Mechanism for Diabetic Risk Prediction: A Hybrid CNN–Autoencoder Approach with Emphasis on Retinal Imaging in the Elderly

HJ Sarode, D Desai - Journal of Electrical Systems, 2024 - search.proquest.com
Diabetes Mellitus presents a substantial health obstacle on a global scale, with a particular
impact on the elderly demographic. Prompt identification is vital for efficient control and …

Automated Diabetic Retinopathy Prediction Using a Deep Learning Based Modified DenseNet

D Balakrishnan, U Mariappan… - 2023 2nd …, 2023 - ieeexplore.ieee.org
Diabetic Retinopathy (DR) is a form of diabetes caused by damage to the retinal blood
vessels. Early identification and treatment of this condition are facilitated through retinal …

Hybrid Fuzzy Assisted RNN Algorithm for Diabetic Retinopathy Identification

P Sivaprakash, GG Jerith, H Packiaraj… - … on Energy, Materials …, 2023 - ieeexplore.ieee.org
The most common cause of blindness in diabetics is diabetes retinopathy. The importance of
early detection in preventing the DR cannot be overstated. However, because eye checkups …

SURVEY ON TECHNIQUES AND FEATURES OF DIABETIC RETINOPATHY IMAGE CLASSIFICATION

A Gupta, N Senani - Machine Intelligence …, 2022 - machineintelligenceresearchs.com
Diabetic Retinopathy (DR) is the most prevalent complication that emerges as a result of
diabetes, and it specifically impacts the retina, the light-sensitive tissue at the back of the …