Deep learning model for the automatic classification of COVID-19 pneumonia, non-COVID-19 pneumonia, and the healthy: a multi-center retrospective study

This retrospective study aimed to develop and validate a deep learning model for the classification of coronavirus disease-2019 (COVID-19) pneumonia, non-COVID-19 pneumonia, and the healthy using chest X-ray (CXR) images. One private and two public datasets of CXR images were included. The private d...

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Detalles Bibliográficos
Autores principales: Nishio, Mizuho, Kobayashi, Daigo, Nishioka, Eiko, Matsuo, Hidetoshi, Urase, Yasuyo, Onoue, Koji, Ishikura, Reiichi, Kitamura, Yuri, Sakai, Eiro, Tomita, Masaru, Hamanaka, Akihiro, Murakami, Takamichi
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2022
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9113076/
https://www.ncbi.nlm.nih.gov/pubmed/35581272
http://dx.doi.org/10.1038/s41598-022-11990-3

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9113076/
https://www.ncbi.nlm.nih.gov/pubmed/35581272
http://dx.doi.org/10.1038/s41598-022-11990-3

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