Analyzing inter-reader variability affecting deep ensemble learning for COVID-19 detection in chest radiographs

Data-driven deep learning (DL) methods using convolutional neural networks (CNNs) demonstrate promising performance in natural image computer vision tasks. However, their use in medical computer vision tasks faces several limitations, viz., (i) adapting to visual characteristics that are unlike natu...

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Detalles Bibliográficos
Autores principales: Rajaraman, Sivaramakrishnan, Sornapudi, Sudhir, Alderson, Philip O., Folio, Les R., Antani, Sameer K.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2020
Materias:
Research Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7660555/
https://www.ncbi.nlm.nih.gov/pubmed/33180877
http://dx.doi.org/10.1371/journal.pone.0242301

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7660555/
https://www.ncbi.nlm.nih.gov/pubmed/33180877
http://dx.doi.org/10.1371/journal.pone.0242301

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