Application of machine learning in CT images and X-rays of COVID-19 pneumonia

Coronavirus disease (COVID-19) has spread worldwide. X-ray and computed tomography (CT) are 2 technologies widely used in image acquisition, segmentation, diagnosis, and evaluation. Artificial intelligence can accurately segment infected parts in X-ray and CT images, assist doctors in improving diag...

Descripción completa

Detalles Bibliográficos
Autor principal: Zhang, Fengjun
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Lippincott Williams & Wilkins 2021
Materias:
6800
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8428739/
https://www.ncbi.nlm.nih.gov/pubmed/34516488
http://dx.doi.org/10.1097/MD.0000000000026855
_version_ 1783750436135632896
author Zhang, Fengjun
author_facet Zhang, Fengjun
author_sort Zhang, Fengjun
collection PubMed
description Coronavirus disease (COVID-19) has spread worldwide. X-ray and computed tomography (CT) are 2 technologies widely used in image acquisition, segmentation, diagnosis, and evaluation. Artificial intelligence can accurately segment infected parts in X-ray and CT images, assist doctors in improving diagnosis efficiency, and facilitate the subsequent assessment of the severity of the patient infection. The medical assistant platform based on machine learning can help radiologists make clinical decisions and helper in screening, diagnosis, and treatment. By providing scientific methods for image recognition, segmentation, and evaluation, we summarized the latest developments in the application of artificial intelligence in COVID-19 lung imaging, and provided guidance and inspiration to researchers and doctors who are fighting the COVID-19 virus.
format Online
Article
Text
id pubmed-8428739
institution National Center for Biotechnology Information
language English
publishDate 2021
publisher Lippincott Williams & Wilkins
record_format MEDLINE/PubMed
spelling pubmed-84287392021-09-13 Application of machine learning in CT images and X-rays of COVID-19 pneumonia Zhang, Fengjun Medicine (Baltimore) 6800 Coronavirus disease (COVID-19) has spread worldwide. X-ray and computed tomography (CT) are 2 technologies widely used in image acquisition, segmentation, diagnosis, and evaluation. Artificial intelligence can accurately segment infected parts in X-ray and CT images, assist doctors in improving diagnosis efficiency, and facilitate the subsequent assessment of the severity of the patient infection. The medical assistant platform based on machine learning can help radiologists make clinical decisions and helper in screening, diagnosis, and treatment. By providing scientific methods for image recognition, segmentation, and evaluation, we summarized the latest developments in the application of artificial intelligence in COVID-19 lung imaging, and provided guidance and inspiration to researchers and doctors who are fighting the COVID-19 virus. Lippincott Williams & Wilkins 2021-09-10 /pmc/articles/PMC8428739/ /pubmed/34516488 http://dx.doi.org/10.1097/MD.0000000000026855 Text en Copyright © 2021 the Author(s). Published by Wolters Kluwer Health, Inc. https://creativecommons.org/licenses/by/4.0/This is an open access article distributed under the Creative Commons Attribution License 4.0 (CCBY), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. http://creativecommons.org/licenses/by/4.0 (https://creativecommons.org/licenses/by/4.0/) This article is made available via the PMC Open Access Subset for unrestricted re-use and analyses in any form or by any means with acknowledgement of the original source. These permissions are granted for the duration of the COVID-19 pandemic or until permissions are revoked in writing. Upon expiration of these permissions, PMC is granted a perpetual license to make this article available via PMC and Europe PMC, consistent with existing copyright protections.
spellingShingle 6800
Zhang, Fengjun
Application of machine learning in CT images and X-rays of COVID-19 pneumonia
title Application of machine learning in CT images and X-rays of COVID-19 pneumonia
title_full Application of machine learning in CT images and X-rays of COVID-19 pneumonia
title_fullStr Application of machine learning in CT images and X-rays of COVID-19 pneumonia
title_full_unstemmed Application of machine learning in CT images and X-rays of COVID-19 pneumonia
title_short Application of machine learning in CT images and X-rays of COVID-19 pneumonia
title_sort application of machine learning in ct images and x-rays of covid-19 pneumonia
topic 6800
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8428739/
https://www.ncbi.nlm.nih.gov/pubmed/34516488
http://dx.doi.org/10.1097/MD.0000000000026855
work_keys_str_mv AT zhangfengjun applicationofmachinelearninginctimagesandxraysofcovid19pneumonia

Ejemplares similares