Deep learning models for COVID-19 chest x-ray classification: Preventing shortcut learning using feature disentanglement

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In response to the COVID-19 global pandemic, recent research has proposed creating deep learning based models that use chest radiographs (CXRs) in a variety of clinical tasks to help manage the crisis. However, the size of existing datasets of CXRs from COVID-19+ patients are relatively small, and r...

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Detalles Bibliográficos
Autores principales: Trivedi, Anusua, Robinson, Caleb, Blazes, Marian, Ortiz, Anthony, Desbiens, Jocelyn, Gupta, Sunil, Dodhia, Rahul, Bhatraju, Pavan K., Liles, W. Conrad, Kalpathy-Cramer, Jayashree, Lee, Aaron Y., Lavista Ferres, Juan M.
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/PMC9536609/
https://www.ncbi.nlm.nih.gov/pubmed/36201483
http://dx.doi.org/10.1371/journal.pone.0274098

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9536609/
https://www.ncbi.nlm.nih.gov/pubmed/36201483
http://dx.doi.org/10.1371/journal.pone.0274098

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