[HTML][HTML] Medical image processing and COVID-19: a literature review and bibliometric analysis

RA Abumalloh, M Nilashi, MY Ismail, A Alhargan… - Journal of infection and …, 2022 - Elsevier
COVID-19 crisis has placed medical systems over the world under unprecedented and
growing pressure. Medical imaging processing can help in the diagnosis, treatment, and …

Medical imaging and computational image analysis in COVID-19 diagnosis: A review

S Nabavi, A Ejmalian, ME Moghaddam, AA Abin… - Computers in Biology …, 2021 - Elsevier
Abstract Coronavirus disease (COVID-19) is an infectious disease caused by a newly
discovered coronavirus. The disease presents with symptoms such as shortness of breath …

Digital imaging, technologies and artificial intelligence applications during COVID-19 pandemic

M Alhasan, M Hasaneen - Computerized Medical Imaging and Graphics, 2021 - Elsevier
The advancement of technology remained an immersive interest for humankind throughout
the past decades. Tech enterprises offered a stream of innovation to address the universal …

[HTML][HTML] Systematic review of artificial intelligence techniques in the detection and classification of COVID-19 medical images in terms of evaluation and benchmarking …

OS Albahri, AA Zaidan, AS Albahri, BB Zaidan… - Journal of infection and …, 2020 - Elsevier
This study presents a systematic review of artificial intelligence (AI) techniques used in the
detection and classification of coronavirus disease 2019 (COVID-19) medical images in …

A review of modern technologies for tackling COVID-19 pandemic

A Kumar, PK Gupta, A Srivastava - Diabetes & Metabolic Syndrome …, 2020 - Elsevier
Objective Science and technology sector constituting of data science, machine learning and
artificial intelligence are contributing towards COVID-19. The aim of the present study is to …

A survey of machine learning-based methods for COVID-19 medical image analysis

K Sailunaz, T Özyer, J Rokne, R Alhajj - Medical & Biological Engineering …, 2023 - Springer
The ongoing COVID-19 pandemic caused by the SARS-CoV-2 virus has already resulted in
6.6 million deaths with more than 637 million people infected after only 30 months since the …

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 …

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 …

Deep learning and medical image processing for coronavirus (COVID-19) pandemic: A survey

S Bhattacharya, PKR Maddikunta, QV Pham… - Sustainable cities and …, 2021 - Elsevier
Since December 2019, the coronavirus disease (COVID-19) outbreak has caused many
death cases and affected all sectors of human life. With gradual progression of time, COVID …