Classification and segmentation of diabetic retinopathy: a systemic review

N Shaukat, J Amin, MI Sharif, MI Sharif, S Kadry… - Applied Sciences, 2023 - mdpi.com
Diabetic retinopathy (DR) is a major reason of blindness around the world. The
ophthalmologist manually analyzes the morphological alterations in veins of retina, and …

[HTML][HTML] Emerging trends and research foci in artificial intelligence for retinal diseases: Bibliometric and visualization study

J Zhao, Y Lu, Y Qian, Y Luo, W Yang - Journal of Medical Internet Research, 2022 - jmir.org
Background Patients with retinal diseases may exhibit serious complications that cause
severe visual impairment owing to a lack of awareness of retinal diseases and limited …

[HTML][HTML] Artificial intelligence for visually impaired

J Wang, S Wang, Y Zhang - Displays, 2023 - Elsevier
The eyes are an essential tool for human observation and perception of the world, hel**
people to perform their tasks. Visual impairment causes many inconveniences in the lives of …

[HTML][HTML] A deep neural network and machine learning approach for retinal fundus image classification

R Thanki - Healthcare Analytics, 2023 - Elsevier
Diabetes is a common chronic disease and a major public health problem approaching
epidemic proportions globally. People with diabetes are more likely to suffer from glaucoma …

A clinically explainable AI-based grading system for age-related macular degeneration using optical coherence tomography

M Elsharkawy, A Sharafeldeen, F Khalifa… - IEEE Journal of …, 2024 - ieeexplore.ieee.org
We propose an automated, explainable artificial intelligence (xAI) system for age-related
macular degeneration (AMD) diagnosis. Mimicking the physician's perceptions, the …

Hybrid deep learning approaches for the detection of diabetic retinopathy using optimized wavelet based model

B Venkaiahppalaswamy, PP Reddy, S Batha - … Signal Processing and …, 2023 - Elsevier
Diabetic retinopathy (DR) is a diabetic ocular manifestation that leads to loss of visual
impairment and blindness in people worldwide. Detecting and diagnosing the DR remains a …

Transfer learning for diabetic retinopathy detection: a study of dataset combination and model performance

AM Mutawa, S Alnajdi, S Sruthi - Applied Sciences, 2023 - mdpi.com
Diabetes' serious complication, diabetic retinopathy (DR), which can potentially be life-
threatening, might result in vision loss in certain situations. Although it has no symptoms in …

[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 …

Development of preprocessing methods and revised EfficientNet for diabetic retinopathy detection

CL Lin, ZX Jiang - International Journal of Imaging Systems and …, 2023 - Wiley Online Library
The evolution of deep learning (DL) has made artificial intelligence image recognition a
mature technology. Recently, the use of DL to identify diabetic retinopathy (DR) has been …

Analysis of brain tumor using pre-trained CNN models and machine learning techniques

D Kaur, S Goel, R Nijhawan… - 2022 IEEE International …, 2022 - ieeexplore.ieee.org
A brain tumor is a life-threatening illness that disrupts the human body's natural functioning.
Early detection of brain tumors is important for an accurate diagnosis and successful …