Review on COVID‐19 diagnosis models based on machine learning and deep learning approaches

ZAA Alyasseri, MA Al‐Betar, IA Doush… - Expert …, 2022 - Wiley Online Library
COVID‐19 is the disease evoked by a new breed of coronavirus called the severe acute
respiratory syndrome coronavirus 2 (SARS‐CoV‐2). Recently, COVID‐19 has become a …

Application of deep learning techniques in diagnosis of covid-19 (coronavirus): a systematic review

YH Bhosale, KS Patnaik - Neural processing letters, 2023 - Springer
Covid-19 is now one of the most incredibly intense and severe illnesses of the twentieth
century. Covid-19 has already endangered the lives of millions of people worldwide due to …

COVID-19 detection from chest X-ray images using feature fusion and deep learning

M Ahsan, MA Based, J Haider, M Kowalski - Sensors, 2021 - mdpi.com
Currently, COVID-19 is considered to be the most dangerous and deadly disease for the
human body caused by the novel coronavirus. In December 2019, the coronavirus spread …

Bayesian-based optimized deep learning model to detect COVID-19 patients using chest X-ray image data

M Loey, S El-Sappagh, S Mirjalili - Computers in Biology and Medicine, 2022 - Elsevier
Abstract Coronavirus Disease 2019 (COVID-19) is extremely infectious and rapidly
spreading around the globe. As a result, rapid and precise identification of COVID-19 …

PulDi-COVID: Chronic obstructive pulmonary (lung) diseases with COVID-19 classification using ensemble deep convolutional neural network from chest X-ray …

YH Bhosale, KS Patnaik - Biomedical Signal Processing and Control, 2023 - Elsevier
Abstract Background and Objective In the current COVID-19 outbreak, efficient testing of
COVID-19 individuals has proven vital to limiting and arresting the disease's accelerated …

Detection and classification of COVID-19 disease from X-ray images using convolutional neural networks and histogram of oriented gradients

AM Ayalew, AO Salau, BT Abeje, B Enyew - Biomedical Signal Processing …, 2022 - Elsevier
COVID-19 is now regarded as the most lethal disease caused by the novel coronavirus
disease of humans. The COVID-19 pandemic has spread to every country on the planet and …

[HTML][HTML] Multi-modal image classification of COVID-19 cases using computed tomography and X-rays scans

N Nasir, A Kansal, F Barneih, O Al-Shaltone… - Intelligent Systems with …, 2023 - Elsevier
COVID pandemic across the world and the emergence of new variants have intensified the
need to identify COVID-19 cases quickly and efficiently. In this paper, a novel dual-mode …

Automated detection of COVID-19 from CT scan using convolutional neural network

NK Mishra, P Singh, SD Joshi - Biocybernetics and biomedical engineering, 2021 - Elsevier
Under the prevailing circumstances of the global pandemic of COVID-19, early diagnosis
and accurate detection of COVID-19 through tests/screening and, subsequently, isolation of …

Detection of COVID-19 using deep learning techniques and cost effectiveness evaluation: a survey

MK MV, S Atalla, N Almuraqab… - Frontiers in Artificial …, 2022 - frontiersin.org
Graphical-design-based symptomatic techniques in pandemics perform a quintessential
purpose in screening hit causes that comparatively render better outcomes amongst the …

Intelligent system for COVID-19 prognosis: A state-of-the-art survey

J Nayak, B Naik, P Dinesh, K Vakula, BK Rao… - Applied …, 2021 - Springer
This 21st century is notable for experiencing so many disturbances at economic, social,
cultural, and political levels in the entire world. The outbreak of novel corona virus 2019 …