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Deep learning and medical image processing for coronavirus (COVID-19) pandemic: A survey
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-19 was declared by the world health organization (WHO) as an outbreak, which has imposed a heavy burden on almost all countries...
Autores principales: | , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Elsevier Ltd.
2021
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7642729/ https://www.ncbi.nlm.nih.gov/pubmed/33169099 http://dx.doi.org/10.1016/j.scs.2020.102589 |
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author | Bhattacharya, Sweta Reddy Maddikunta, Praveen Kumar Pham, Quoc-Viet Gadekallu, Thippa Reddy Krishnan S, Siva Rama Chowdhary, Chiranji Lal Alazab, Mamoun Jalil Piran, Md. |
author_facet | Bhattacharya, Sweta Reddy Maddikunta, Praveen Kumar Pham, Quoc-Viet Gadekallu, Thippa Reddy Krishnan S, Siva Rama Chowdhary, Chiranji Lal Alazab, Mamoun Jalil Piran, Md. |
author_sort | Bhattacharya, Sweta |
collection | PubMed |
description | 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-19 was declared by the world health organization (WHO) as an outbreak, which has imposed a heavy burden on almost all countries, especially ones with weaker health systems and ones with slow responses. In the field of healthcare, deep learning has been implemented in many applications, e.g., diabetic retinopathy detection, lung nodule classification, fetal localization, and thyroid diagnosis. Numerous sources of medical images (e.g., X-ray, CT, and MRI) make deep learning a great technique to combat the COVID-19 outbreak. Motivated by this fact, a large number of research works have been proposed and developed for the initial months of 2020. In this paper, we first focus on summarizing the state-of-the-art research works related to deep learning applications for COVID-19 medical image processing. Then, we provide an overview of deep learning and its applications to healthcare found in the last decade. Next, three use cases in China, Korea, and Canada are also presented to show deep learning applications for COVID-19 medical image processing. Finally, we discuss several challenges and issues related to deep learning implementations for COVID-19 medical image processing, which are expected to drive further studies in controlling the outbreak and controlling the crisis, which results in smart healthy cities. |
format | Online Article Text |
id | pubmed-7642729 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
publisher | Elsevier Ltd. |
record_format | MEDLINE/PubMed |
spelling | pubmed-76427292020-11-05 Deep learning and medical image processing for coronavirus (COVID-19) pandemic: A survey Bhattacharya, Sweta Reddy Maddikunta, Praveen Kumar Pham, Quoc-Viet Gadekallu, Thippa Reddy Krishnan S, Siva Rama Chowdhary, Chiranji Lal Alazab, Mamoun Jalil Piran, Md. Sustain Cities Soc Article 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-19 was declared by the world health organization (WHO) as an outbreak, which has imposed a heavy burden on almost all countries, especially ones with weaker health systems and ones with slow responses. In the field of healthcare, deep learning has been implemented in many applications, e.g., diabetic retinopathy detection, lung nodule classification, fetal localization, and thyroid diagnosis. Numerous sources of medical images (e.g., X-ray, CT, and MRI) make deep learning a great technique to combat the COVID-19 outbreak. Motivated by this fact, a large number of research works have been proposed and developed for the initial months of 2020. In this paper, we first focus on summarizing the state-of-the-art research works related to deep learning applications for COVID-19 medical image processing. Then, we provide an overview of deep learning and its applications to healthcare found in the last decade. Next, three use cases in China, Korea, and Canada are also presented to show deep learning applications for COVID-19 medical image processing. Finally, we discuss several challenges and issues related to deep learning implementations for COVID-19 medical image processing, which are expected to drive further studies in controlling the outbreak and controlling the crisis, which results in smart healthy cities. Elsevier Ltd. 2021-02 2020-11-05 /pmc/articles/PMC7642729/ /pubmed/33169099 http://dx.doi.org/10.1016/j.scs.2020.102589 Text en © 2020 Elsevier Ltd. All rights reserved. Since January 2020 Elsevier has created a COVID-19 resource centre with free information in English and Mandarin on the novel coronavirus COVID-19. The COVID-19 resource centre is hosted on Elsevier Connect, the company's public news and information website. Elsevier hereby grants permission to make all its COVID-19-related research that is available on the COVID-19 resource centre - including this research content - immediately available in PubMed Central and other publicly funded repositories, such as the WHO COVID database with rights for unrestricted research re-use and analyses in any form or by any means with acknowledgement of the original source. These permissions are granted for free by Elsevier for as long as the COVID-19 resource centre remains active. |
spellingShingle | Article Bhattacharya, Sweta Reddy Maddikunta, Praveen Kumar Pham, Quoc-Viet Gadekallu, Thippa Reddy Krishnan S, Siva Rama Chowdhary, Chiranji Lal Alazab, Mamoun Jalil Piran, Md. Deep learning and medical image processing for coronavirus (COVID-19) pandemic: A survey |
title | Deep learning and medical image processing for coronavirus (COVID-19) pandemic: A survey |
title_full | Deep learning and medical image processing for coronavirus (COVID-19) pandemic: A survey |
title_fullStr | Deep learning and medical image processing for coronavirus (COVID-19) pandemic: A survey |
title_full_unstemmed | Deep learning and medical image processing for coronavirus (COVID-19) pandemic: A survey |
title_short | Deep learning and medical image processing for coronavirus (COVID-19) pandemic: A survey |
title_sort | deep learning and medical image processing for coronavirus (covid-19) pandemic: a survey |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7642729/ https://www.ncbi.nlm.nih.gov/pubmed/33169099 http://dx.doi.org/10.1016/j.scs.2020.102589 |
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