Smartphone use in ophthalmology: what is their place in clinical practice?

DT Hogarty, JP Hogarty, AW Hewitt - Survey of Ophthalmology, 2020 - Elsevier
Smartphones are an increasingly common and rapidly develo** tool in clinical practice.
Numerous applications or “apps” are available for use on smartphones that aim to help …

[HTML][HTML] Advances in automated tongue diagnosis techniques

MH Tania, K Lwin, MA Hossain - Integrative Medicine Research, 2019 - Elsevier
Tongue diagnosis can be an effective, noninvasive method to perform an auxiliary diagnosis
any time anywhere, which can support the global need in the primary healthcare system …

[HTML][HTML] ESDMR-Net: A lightweight network with expand-squeeze and dual multiscale residual connections for medical image segmentation

TM Khan, SS Naqvi, E Meijering - Engineering Applications of Artificial …, 2024 - Elsevier
Segmentation is an important task in a wide range of computer vision applications, including
medical image analysis. Recent years have seen an increase in the complexity of medical …

Feature selection using firefly optimization for classification and regression models

L Zhang, K Mistry, CP Lim, SC Neoh - Decision Support Systems, 2018 - Elsevier
In this research, we propose a variant of the Firefly Algorithm (FA) for discriminative feature
selection in classification and regression models for supporting decision making processes …

[HTML][HTML] Intelligent leukaemia diagnosis with bare-bones PSO based feature optimization

W Srisukkham, L Zhang, SC Neoh, S Todryk… - Applied soft computing, 2017 - Elsevier
In this research, we propose an intelligent decision support system for acute lymphoblastic
leukaemia (ALL) diagnosis using microscopic images. Two Bare-bones Particle Swarm …

[HTML][HTML] Intelligent facial emotion recognition using moth-firefly optimization

L Zhang, K Mistry, SC Neoh, CP Lim - Knowledge-Based Systems, 2016 - Elsevier
In this research, we propose a facial expression recognition system with a variant of
evolutionary firefly algorithm for feature optimization. First of all, a modified Local Binary …

Fully automated method for glaucoma screening using robust optic nerve head detection and unsupervised segmentation based cup-to-disc ratio computation in …

A Mvoulana, R Kachouri, M Akil - Computerized Medical Imaging and …, 2019 - Elsevier
Background and objective Visual impairment affects a significant part of the population
worldwide. Glaucoma is one of these main causes, a chronic eye disease leading to …

A data analytics approach to building a clinical decision support system for diabetic retinopathy: Develo** and deploying a model ensemble

S Piri, D Delen, T Liu, HM Zolbanin - Decision Support Systems, 2017 - Elsevier
Diabetes is a common chronic disease that may lead to several complications. Diabetic
retinopathy (DR), one of the most serious of these complications, is the most common cause …

Retinal blood vessel segmentation from diabetic retinopathy images using tandem PCNN model and deep learning based SVM

TJ Jebaseeli, CAD Durai, JD Peter - Optik, 2019 - Elsevier
Diabetic Retinopathy (DR) occurs due to Type-II diabetes. It causes damages to the retinal
blood vessels and reason for visual impairment. The predicted center is around the …

Adaptive features selection and EDNN based brain image recognition on the internet of medical things

R Vankdothu, MA Hameed - Computers and Electrical Engineering, 2022 - Elsevier
A brain tumor is one of the fundamental explanations behind fatality among different sorts of
malignant growth; the brain is a touchy, intricate, and focal part of the body. The appropriate …