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 …

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 …

[HTML][HTML] Deep learning and its role in COVID-19 medical imaging

SB Desai, A Pareek, MP Lungren - Intelligence-Based Medicine, 2020 - Elsevier
COVID-19 is one of the greatest global public health challenges in history. COVID-19 is
caused by the severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) and is …

Deep learning and medical image analysis for COVID-19 diagnosis and prediction

T Liu, E Siegel, D Shen - Annual Review of Biomedical …, 2022 - annualreviews.org
The coronavirus disease 2019 (COVID-19) pandemic has imposed dramatic challenges to
health-care organizations worldwide. To combat the global crisis, the use of thoracic …

[HTML][HTML] 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 …

Deep insight: Convolutional neural network and its applications for COVID-19 prognosis

NY Khanday, SA Sofi - Biomedical Signal Processing and Control, 2021 - Elsevier
Background and objective SARS-CoV-2, a novel strain of coronavirus' also called
coronavirus disease 19 (COVID-19), a highly contagious pathogenic respiratory viral …

The COVID-19 epidemic analysis and diagnosis using deep learning: A systematic literature review and future directions

A Heidari, NJ Navimipour, M Unal, S Toumaj - Computers in biology and …, 2022 - Elsevier
Abstract Since December 2019, the COVID-19 outbreak has resulted in countless deaths
and has harmed all facets of human existence. COVID-19 has been designated an epidemic …

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 …

[HTML][HTML] 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-based COVID-19 detection using CT and X-ray images: Current analytics and comparisons

A Rehman, T Saba, U Tariq, N Ayesha - IT professional, 2021 - ieeexplore.ieee.org
Currently, the world faces a novel coronavirus disease 2019 (COVID-19) challenge and
infected cases are increasing exponentially. COVID-19 is a disease that has been reported …