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Smartphone use in ophthalmology: what is their place in clinical practice?
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 …
Numerous applications or “apps” are available for use on smartphones that aim to help …
[HTML][HTML] Advances in automated tongue diagnosis techniques
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 …
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
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 …
medical image analysis. Recent years have seen an increase in the complexity of medical …
Feature selection using firefly optimization for classification and regression models
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 …
selection in classification and regression models for supporting decision making processes …
[HTML][HTML] Intelligent leukaemia diagnosis with bare-bones PSO based feature optimization
In this research, we propose an intelligent decision support system for acute lymphoblastic
leukaemia (ALL) diagnosis using microscopic images. Two Bare-bones Particle Swarm …
leukaemia (ALL) diagnosis using microscopic images. Two Bare-bones Particle Swarm …
[HTML][HTML] Intelligent facial emotion recognition using moth-firefly optimization
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 …
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 …
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 …
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
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 …
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
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 …
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 …
malignant growth; the brain is a touchy, intricate, and focal part of the body. The appropriate …