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: Robinson, Caleb, Trivedi, Anusua, Blazes, Marian, Ortiz, Anthony, Desbiens, Jocelyn, Gupta, Sunil, Dodhia, Rahul, Bhatraju, Pavan K., Liles, W. Conrad, Lee, Aaron, Kalpathy-Cramer, Jayashree, Ferres, Juan M. Lavista
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Cold Spring Harbor Laboratory 2021
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7885941/
https://www.ncbi.nlm.nih.gov/pubmed/33594382
http://dx.doi.org/10.1101/2021.02.11.20196766

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7885941/
https://www.ncbi.nlm.nih.gov/pubmed/33594382
http://dx.doi.org/10.1101/2021.02.11.20196766

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