Automated detection and forecasting of covid-19 using deep learning techniques: A review

A Shoeibi, M Khodatars, M Jafari, N Ghassemi… - Neurocomputing, 2024 - Elsevier
Abstract In March 2020, the World Health Organization (WHO) declared COVID-19 a global
epidemic, caused by the SARS-CoV-2 virus. Initially, COVID-19 was diagnosed using real …

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 …

Detection and analysis of COVID-19 in medical images using deep learning techniques

D Yang, C Martinez, L Visuña, H Khandhar, C Bhatt… - Scientific Reports, 2021 - nature.com
The main purpose of this work is to investigate and compare several deep learning
enhanced techniques applied to X-ray and CT-scan medical images for the detection of …

A MobileNet-based CNN model with a novel fine-tuning mechanism for COVID-19 infection detection

Y Kaya, E Gürsoy - Soft Computing, 2023 - pmc.ncbi.nlm.nih.gov
COVID-19 is a virus that causes upper respiratory tract and lung infections. The number of
cases and deaths increased daily during the pandemic. Once it is vital to diagnose such a …

Screening of COVID-19 suspected subjects using multi-crossover genetic algorithm based dense convolutional neural network

D Singh, V Kumar, M Kaur, MY Jabarulla… - IEEE Access, 2021 - ieeexplore.ieee.org
Fast and accurate screening of novel coronavirus (COVID-19) suspected subjects plays a
vital role in timely quarantine and medical care. Deep transfer learning-based screening …

A systematic review on AI/ML approaches against COVID-19 outbreak

O Dogan, S Tiwari, MA Jabbar, S Guggari - Complex & Intelligent Systems, 2021 - Springer
Abstract A pandemic disease, COVID-19, has caused trouble worldwide by infecting millions
of people. The studies that apply artificial intelligence (AI) and machine learning (ML) …

COVID-19 detection based on image regrouping and ResNet-SVM using chest X-ray images

C Zhou, J Song, S Zhou, Z Zhang, J Xing - Ieee Access, 2021 - ieeexplore.ieee.org
As the COVID-19 spread worldwide, countries around the world are actively taking
measures to fight against the epidemic. To prevent the spread of it, a high sensitivity and …

Role of artificial intelligence in COVID-19 detection

A Gudigar, U Raghavendra, S Nayak, CP Ooi… - Sensors, 2021 - mdpi.com
The global pandemic of coronavirus disease (COVID-19) has caused millions of deaths and
affected the livelihood of many more people. Early and rapid detection of COVID-19 is a …

Deep Learning Approaches for Detecting Pneumonia in COVID‐19 Patients by Analyzing Chest X‐Ray Images

MDK Hasan, S Ahmed, ZME Abdullah… - Mathematical …, 2021 - Wiley Online Library
The COVID‐19 pandemic has wreaked havoc in the daily life of human beings and
devastated many economies worldwide, claiming millions of lives so far. Studies on COVID …

An Overview of Deep Learning Techniques on Chest X‐Ray and CT Scan Identification of COVID‐19

WC Serena Low, JH Chuah, CATH Tee… - … Methods in Medicine, 2021 - Wiley Online Library
Pneumonia is an infamous life‐threatening lung bacterial or viral infection. The latest viral
infection endangering the lives of many people worldwide is the severe acute respiratory …