Tools and techniques for severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2)/COVID-19 detection

SH Safiabadi Tali, JJ LeBlanc, Z Sadiq… - Clinical microbiology …, 2021 - Am Soc Microbiol
SUMMARY The coronavirus disease 2019 (COVID-19) pandemic, caused by severe acute
respiratory disease coronavirus 2 (SARS-CoV-2), has led to millions of confirmed cases and …

Convolutional neural networks in medical image understanding: a survey

DR Sarvamangala, RV Kulkarni - Evolutionary intelligence, 2022 - Springer
Imaging techniques are used to capture anomalies of the human body. The captured images
must be understood for diagnosis, prognosis and treatment planning of the anomalies …

COVID-19 diagnosis—A review of current methods

M Yüce, E Filiztekin, KG Özkaya - Biosensors and Bioelectronics, 2021 - Elsevier
A fast and accurate self-testing tool for COVID-19 diagnosis has become a prerequisite to
comprehend the exact number of cases worldwide and to take medical and governmental …

Deep learning based detection and analysis of COVID-19 on chest X-ray images

R Jain, M Gupta, S Taneja, DJ Hemanth - Applied Intelligence, 2021 - Springer
Covid-19 is a rapidly spreading viral disease that infects not only humans, but animals are
also infected because of this disease. The daily life of human beings, their health, and the …

[HTML][HTML] Deep-chest: Multi-classification deep learning model for diagnosing COVID-19, pneumonia, and lung cancer chest diseases

DM Ibrahim, NM Elshennawy, AM Sarhan - Computers in biology and …, 2021 - Elsevier
Abstract Corona Virus Disease (COVID-19) has been announced as a pandemic and is
spreading rapidly throughout the world. Early detection of COVID-19 may protect many …

Can AI help in screening viral and COVID-19 pneumonia?

MEH Chowdhury, T Rahman, A Khandakar… - Ieee …, 2020 - ieeexplore.ieee.org
Coronavirus disease (COVID-19) is a pandemic disease, which has already caused
thousands of causalities and infected several millions of people worldwide. Any …

COVID-19 detection through transfer learning using multimodal imaging data

MJ Horry, S Chakraborty, M Paul, A Ulhaq… - Ieee …, 2020 - ieeexplore.ieee.org
Detecting COVID-19 early may help in devising an appropriate treatment plan and disease
containment decisions. In this study, we demonstrate how transfer learning from deep …

[HTML][HTML] A review of deep learning-based detection methods for COVID-19

N Subramanian, O Elharrouss, S Al-Maadeed… - Computers in Biology …, 2022 - Elsevier
COVID-19 is a fast-spreading pandemic, and early detection is crucial for stopping the
spread of infection. Lung images are used in the detection of coronavirus infection. Chest X …

Applications of artificial intelligence in COVID-19 pandemic: A comprehensive review

M Khan, MT Mehran, ZU Haq, Z Ullah, SR Naqvi… - Expert systems with …, 2021 - Elsevier
During the current global public health emergency caused by novel coronavirus disease 19
(COVID-19), researchers and medical experts started working day and night to search for …

Vision Transformers in medical computer vision—A contemplative retrospection

A Parvaiz, MA Khalid, R Zafar, H Ameer, M Ali… - … Applications of Artificial …, 2023 - Elsevier
Abstract Vision Transformers (ViTs), with the magnificent potential to unravel the information
contained within images, have evolved as one of the most contemporary and dominant …