A novel abnormality annotation database for COVID-19 affected frontal lung X-rays
Consistent clinical observations of characteristic findings of COVID-19 pneumonia on chest X-rays have attracted the research community to strive to provide a fast and reliable method for screening suspected patients. Several machine learning algorithms have been proposed to find the abnormalities i...
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Published in | PloS one Vol. 17; no. 10; p. e0271931 |
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Main Authors | , , , , , , , , , , , , , , |
Format | Journal Article |
Language | English |
Published |
Public Library of Science (PLoS)
01.01.2022
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Online Access | Get full text |
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