Implementation and use of disease diagnosis systems for electronic medical records based on machine learning: A complete review

J Latif, C Xiao, S Tu, SU Rehman, A Imran… - IEEE Access, 2020 - ieeexplore.ieee.org
Electronic health records are used to extract patient's information instantly and remotely,
which can help to keep track of patients' due dates for checkups, immunizations, and to …

A Transfer Learning and U-Net-based automatic detection of diabetic retinopathy from fundus images

A Bilal, G Sun, S Mazhar, A Imran… - Computer Methods in …, 2022 - Taylor & Francis
Diabetic retinopathy (DR) is an ocular manifestation of diabetes and the leading cause of
visual impairment and blindness across the globe. Early detection and treatment of DR can …

The need for artificial intelligence based risk factor analysis for age-related macular degeneration: a review

A Vyas, S Raman, J Surya, S Sen, R Raman - Diagnostics, 2022 - mdpi.com
In epidemiology, a risk factor is a variable associated with increased disease risk.
Understanding the role of risk factors is significant for developing a strategy to improve …

Improved Support Vector Machine based on CNN-SVD for vision-threatening diabetic retinopathy detection and classification

A Bilal, A Imran, TI Baig, X Liu, H Long, A Alzahrani… - Plos one, 2024 - journals.plos.org
The integration of artificial intelligence (AI) in diagnosing diabetic retinopathy, a major
contributor to global vision impairment, is becoming increasingly pronounced. Notably, the …

Automated cataract disease detection on anterior segment eye images using adaptive thresholding and fine tuned inception-v3 model

S Faizal, CA Rajput, R Tripathi, B Verma… - … Signal Processing and …, 2023 - Elsevier
Early detection of cataracts plays a vital role in ensuring the prevention of vision loss. This
paper aims to propose an algorithm that will act as an assistive measure in the process of …

Automatic Cataract Severity Detection and Grading Using Deep Learning

S Yadav, JKPS Yadav - Journal of Sensors, 2023 - Wiley Online Library
Cataracts are an eye condition that causes the eye's lens to become cloudy and is a
significant cause of vision loss worldwide. Accurate and timely detection and diagnosis of …

Detection of glaucoma on fundus images using deep learning on a new image set obtained with a smartphone and handheld ophthalmoscope

CP Bragança, JM Torres, CPA Soares, LO Macedo - Healthcare, 2022 - mdpi.com
Statistics show that an estimated 64 million people worldwide suffer from glaucoma. To aid
in the detection of this disease, this paper presents a new public dataset containing eye …

Cataract grading method based on deep convolutional neural networks and stacking ensemble learning

Y Elloumi - International Journal of Imaging Systems and …, 2022 - Wiley Online Library
The cataract is the most common cause of severe vision impairment or blindness worldwide.
A periodical diagnosis is recommended in order to prevent cataract severity, where …

Computer‐aided diagnosis of cataract severity using retinal fundus images and deep learning

JKPS Yadav, S Yadav - Computational Intelligence, 2022 - Wiley Online Library
Cataracts are lenticular opacities that can appear in different parts of the lens in the eye and
are a leading cause of blindness globally. Accurate detection and early‐stage diagnosis can …

Automated identification of cataract severity using retinal fundus images

A Imran, J Li, Y Pei, F Akhtar, JJ Yang… - Computer Methods in …, 2020 - Taylor & Francis
Cataract is the most prevalent cause of blindness worldwide, which accounts for more than
51% of overall blindness. The early detection of cataract can salvage impaired vision …