COVID-AL: The diagnosis of COVID-19 with deep active learning

X Wu, C Chen, M Zhong, J Wang, J Shi - Medical Image Analysis, 2021 - Elsevier
The efficient diagnosis of COVID-19 plays a key role in preventing the spread of this
disease. The computer-aided diagnosis with deep learning methods can perform automatic …

Ensemble deep learning and internet of things‐based automated COVID‐19 diagnosis framework

AS Kini, AN Gopal Reddy, M Kaur… - Contrast Media & …, 2022 - Wiley Online Library
Coronavirus disease (COVID‐19) is a viral infection caused by SARS‐CoV‐2. The
modalities such as computed tomography (CT) have been successfully utilized for the early …

Diagnosis of COVID-19 using machine learning and deep learning: a review

MRH Mondal, S Bharati, P Podder - Current Medical Imaging, 2021 - ingentaconnect.com
Background: This paper provides a systematic review of the application of Artificial
Intelligence (AI) in the form of Machine Learning (ML) and Deep Learning (DL) techniques in …

Medical imaging with deep learning for COVID-19 diagnosis: a comprehensive review

S Bharati, P Podder, M Mondal, VB Prasath - arXiv preprint arXiv …, 2021 - arxiv.org
The outbreak of novel coronavirus disease (COVID-19) has claimed millions of lives and has
affected all aspects of human life. This paper focuses on the application of deep learning …

Diagnosis of COVID-19 pneumonia via a novel deep learning architecture

X Zhang, S Lu, SH Wang, X Yu, SJ Wang, L Yao… - Journal of computer …, 2022 - Springer
COVID-19 is a contagious infection that has severe effects on the global economy and our
daily life. Accurate diagnosis of COVID-19 is of importance for consultants, patients, and …

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 …

Rapid diagnosis of Covid-19 infections by a progressively growing GAN and CNN optimisation

R Gulakala, B Markert, M Stoffel - Computer Methods and Programs in …, 2023 - Elsevier
Background and objective Covid-19 infections are spreading around the globe since
December 2019. Several diagnostic methods were developed based on biological …

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 …

Artificial intelligence (AI) for medical imaging to combat coronavirus disease (COVID-19): A detailed review with direction for future research

TA Soomro, L Zheng, AJ Afifi, A Ali, M Yin… - Artificial Intelligence …, 2022 - Springer
Since early 2020, the whole world has been facing the deadly and highly contagious
disease named coronavirus disease (COVID-19) and the World Health Organization …

A review on deep learning techniques for the diagnosis of novel coronavirus (COVID-19)

MM Islam, F Karray, R Alhajj, J Zeng - Ieee Access, 2021 - ieeexplore.ieee.org
Novel coronavirus (COVID-19) outbreak, has raised a calamitous situation all over the world
and has become one of the most acute and severe ailments in the past hundred years. The …