[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 …

Explainable AI for retinoblastoma diagnosis: interpreting deep learning models with LIME and SHAP

B Aldughayfiq, F Ashfaq, NZ Jhanjhi, M Humayun - Diagnostics, 2023 - mdpi.com
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 …

Automated brain tumor segmentation and classification in MRI using YOLO-based deep learning

MF Almufareh, M Imran, A Khan, M Humayun… - IEEE …, 2024 - ieeexplore.ieee.org
Recent advancements in image processing and computer vision have brought significant
transformations in healthcare technology, leading to significant improvements in diagnosis …

A multi-resolution convolutional attention network for efficient diabetic retinopathy classification

S Madarapu, S Ari, K Mahapatra - Computers and Electrical Engineering, 2024 - Elsevier
Diabetic retinopathy (DR) is a disorder commonly associated with individuals who have
diabetes and is caused by excessive glucose levels in the blood, which induce retinal …

Application of artificial intelligence for classification, segmentation, early detection, early diagnosis, and grading of diabetic retinopathy from fundus retinal images: A …

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 …

A deep learning model for detecting diabetic retinopathy stages with discrete wavelet transform

AM Mutawa, K Al-Sabti, S Raizada, S Sruthi - Applied Sciences, 2024 - mdpi.com
Diabetic retinopathy (DR) is the primary factor leading to vision impairment and blindness in
diabetics. Uncontrolled diabetes can damage the retinal blood vessels. Initial detection and …

[HTML][HTML] Enhancement of diabetic retinopathy prognostication using deep learning, CLAHE, and ESRGAN

G Alwakid, W Gouda, M Humayun - Diagnostics, 2023 - mdpi.com
One of the primary causes of blindness in the diabetic population is diabetic retinopathy
(DR). Many people could have their sight saved if only DR were detected and treated in …

[HTML][HTML] A user-friendly approach for the diagnosis of diabetic retinopathy using ChatGPT and automated machine learning

SS Mohammadi, QD Nguyen - Ophthalmology Science, 2024 - Elsevier
Purpose To assess the capabilities of Chat Generative Pre-trained Transformer (ChatGPT)
and Vertex AI in executing code-free preprocessing, training machine learning (ML) models …

YOLOv5-FPN: a robust framework for multi-sized cell counting in fluorescence images

B Aldughayfiq, F Ashfaq, NZ Jhanjhi, M Humayun - Diagnostics, 2023 - mdpi.com
Cell counting in fluorescence microscopy is an essential task in biomedical research for
analyzing cellular dynamics and studying disease progression. Traditional methods for cell …

[PDF][PDF] Automated Classification of Ophthalmic Disorders Using Color Fundus Images

SK Hussain, SA Ramay, H Shaheer, T Abbas… - Volume, 2024 - researchgate.net
This study proposes a novel methodology for classifying ocular diseases using
convolutional neural networks (CNNs) and specialized loss functions. The proposed model …