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Application of machine learning in CT images and X-rays of COVID-19 pneumonia.
Zhang, Fengjun.
  • Zhang F; College of Mechanical and Electrical Engineering, Nanjing University of Aeronautics and Astronautics, Nanjing, China.
Medicine (Baltimore) ; 100(36): e26855, 2021 Sep 10.
Article in English | MEDLINE | ID: covidwho-2191052
ABSTRACT
ABSTRACT 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.
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Full text: Available Collection: International databases Database: MEDLINE Main subject: Pneumonia, Viral / Machine Learning / SARS-CoV-2 / COVID-19 Type of study: Diagnostic study / Experimental Studies / Prognostic study Limits: Humans Language: English Journal: Medicine (Baltimore) Year: 2021 Document Type: Article Affiliation country: MD.0000000000026855

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Full text: Available Collection: International databases Database: MEDLINE Main subject: Pneumonia, Viral / Machine Learning / SARS-CoV-2 / COVID-19 Type of study: Diagnostic study / Experimental Studies / Prognostic study Limits: Humans Language: English Journal: Medicine (Baltimore) Year: 2021 Document Type: Article Affiliation country: MD.0000000000026855