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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Detalles Bibliográficos
Autores principales: Mittal, Surbhi, Venugopal, Vasantha Kumar, Agarwal, Vikash Kumar, Malhotra, Manu, Chatha, Jagneet Singh, Kapur, Savinay, Gupta, Ankur, Batra, Vikas, Majumdar, Puspita, Malhotra, Aakarsh, Thakral, Kartik, Chhabra, Saheb, Vatsa, Mayank, Singh, Richa, Chaudhury, Santanu
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2022
Materias:
Research Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9565456/
https://www.ncbi.nlm.nih.gov/pubmed/36240175
http://dx.doi.org/10.1371/journal.pone.0271931

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9565456/
https://www.ncbi.nlm.nih.gov/pubmed/36240175
http://dx.doi.org/10.1371/journal.pone.0271931

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