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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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| Publicado no: | PLoS One |
|---|---|
| Main Authors: | , , , , , |
| Formato: | Artigo |
| Idioma: | Inglês |
| Publicado em: |
Public Library of Science
2020
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| Assuntos: | |
| Acesso em linha: | https://ncbi.nlm.nih.gov/pmc/articles/PMC7064166/ https://ncbi.nlm.nih.gov/pubmed/32155219 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1371/journal.pone.0229963 |
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