Supervised and unsupervised language modelling in Chest X-Ray radiological reports

Chest radiography (CXR) is the most commonly used imaging modality and deep neural network (DNN) algorithms have shown promise in effective triage of normal and abnormal radiograms. Typically, DNNs require large quantities of expertly labelled training exemplars, which in clinical contexts is a majo...

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Detalles Bibliográficos
Autores principales: Drozdov, Ignat, Forbes, Daniel, Szubert, Benjamin, Hall, Mark, Carlin, Chris, Lowe, David J.
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/PMC7064166/
https://www.ncbi.nlm.nih.gov/pubmed/32155219
http://dx.doi.org/10.1371/journal.pone.0229963

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7064166/
https://www.ncbi.nlm.nih.gov/pubmed/32155219
http://dx.doi.org/10.1371/journal.pone.0229963

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