Deep learning for distinguishing normal versus abnormal chest radiographs and generalization to two unseen diseases tuberculosis and COVID-19

Chest radiography (CXR) is the most widely-used thoracic clinical imaging modality and is crucial for guiding the management of cardiothoracic conditions. The detection of specific CXR findings has been the main focus of several artificial intelligence (AI) systems. However, the wide range of possib...

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Detalles Bibliográficos
Autores principales: Nabulsi, Zaid, Sellergren, Andrew, Jamshy, Shahar, Lau, Charles, Santos, Edward, Kiraly, Atilla P., Ye, Wenxing, Yang, Jie, Pilgrim, Rory, Kazemzadeh, Sahar, Yu, Jin, Kalidindi, Sreenivasa Raju, Etemadi, Mozziyar, Garcia-Vicente, Florencia, Melnick, David, Corrado, Greg S., Peng, Lily, Eswaran, Krish, Tse, Daniel, Beladia, Neeral, Liu, Yun, Chen, Po-Hsuan Cameron, Shetty, Shravya
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2021
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8410908/
https://www.ncbi.nlm.nih.gov/pubmed/34471144
http://dx.doi.org/10.1038/s41598-021-93967-2

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8410908/
https://www.ncbi.nlm.nih.gov/pubmed/34471144
http://dx.doi.org/10.1038/s41598-021-93967-2

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