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 …

[HTML][HTML] Artificial intelligence for COVID-19: a systematic review

L Wang, Y Zhang, D Wang, X Tong, T Liu… - Frontiers in …, 2021 - frontiersin.org
Background: Recently, Coronavirus Disease 2019 (COVID-19), caused by severe acute
respiratory syndrome virus 2 (SARS-CoV-2), has affected more than 200 countries and lead …

A transformer-based representation-learning model with unified processing of multimodal input for clinical diagnostics

HY Zhou, Y Yu, C Wang, S Zhang, Y Gao… - Nature biomedical …, 2023 - nature.com
During the diagnostic process, clinicians leverage multimodal information, such as the chief
complaint, medical images and laboratory test results. Deep-learning models for aiding …

Covid-19 classification by FGCNet with deep feature fusion from graph convolutional network and convolutional neural network

SH Wang, VV Govindaraj, JM Górriz, X Zhang… - Information …, 2021 - Elsevier
Abstract (Aim) COVID-19 is an infectious disease spreading to the world this year. In this
study, we plan to develop an artificial intelligence based tool to diagnose on chest CT …

COVID-19 classification by CCSHNet with deep fusion using transfer learning and discriminant correlation analysis

SH Wang, DR Nayak, DS Guttery, X Zhang, YD Zhang - Information Fusion, 2021 - Elsevier
Aim: COVID-19 is a disease caused by a new strain of coronavirus. Up to 18th October
2020, worldwide there have been 39.6 million confirmed cases resulting in more than 1.1 …

Applications of artificial intelligence in battling against covid-19: A literature review

M Tayarani - Chaos, Solitons and Fractals, 2020 - researchprofiles.herts.ac.uk
Colloquially known as coronavirus, the Severe Acute Respiratory Syndrome CoronaVirus 2
(SARS-CoV-2), that causes CoronaVirus Disease 2019 (COVID-19), has become a matter of …

Deep learning in the detection and diagnosis of COVID‐19 using radiology modalities: a systematic review

M Ghaderzadeh, F Asadi - Journal of healthcare engineering, 2021 - Wiley Online Library
Introduction. The early detection and diagnosis of COVID‐19 and the accurate separation of
non‐COVID‐19 cases at the lowest cost and in the early stages of the disease are among …

Review on Diagnosis of COVID‐19 from Chest CT Images Using Artificial Intelligence

I Ozsahin, B Sekeroglu, MS Musa… - … Methods in Medicine, 2020 - Wiley Online Library
The COVID‐19 diagnostic approach is mainly divided into two broad categories, a
laboratory‐based and chest radiography approach. The last few months have witnessed a …

SARS-Net: COVID-19 detection from chest x-rays by combining graph convolutional network and convolutional neural network

A Kumar, AR Tripathi, SC Satapathy, YD Zhang - Pattern Recognition, 2022 - Elsevier
COVID-19 has emerged as one of the deadliest pandemics that has ever crept on humanity.
Screening tests are currently the most reliable and accurate steps in detecting severe acute …

Machine and deep learning towards COVID-19 diagnosis and treatment: survey, challenges, and future directions

T Alafif, AM Tehame, S Bajaba, A Barnawi… - International journal of …, 2021 - mdpi.com
With many successful stories, machine learning (ML) and deep learning (DL) have been
widely used in our everyday lives in a number of ways. They have also been instrumental in …