Deep-learning-assisted diagnosis for knee magnetic resonance imaging: Development and retrospective validation of MRNet

BACKGROUND: Magnetic resonance imaging (MRI) of the knee is the preferred method for diagnosing knee injuries. However, interpretation of knee MRI is time-intensive and subject to diagnostic error and variability. An automated system for interpreting knee MRI could prioritize high-risk patients and...

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Detalhes bibliográficos
Publicado no:PLoS Med
Main Authors: Bien, Nicholas, Rajpurkar, Pranav, Ball, Robyn L., Irvin, Jeremy, Park, Allison, Jones, Erik, Bereket, Michael, Patel, Bhavik N., Yeom, Kristen W., Shpanskaya, Katie, Halabi, Safwan, Zucker, Evan, Fanton, Gary, Amanatullah, Derek F., Beaulieu, Christopher F., Riley, Geoffrey M., Stewart, Russell J., Blankenberg, Francis G., Larson, David B., Jones, Ricky H., Langlotz, Curtis P., Ng, Andrew Y., Lungren, Matthew P.
Formato: Artigo
Idioma:Inglês
Publicado em: Public Library of Science 2018
Assuntos:
Research Article
Acesso em linha:https://ncbi.nlm.nih.gov/pmc/articles/PMC6258509/
https://ncbi.nlm.nih.gov/pubmed/30481176
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1371/journal.pmed.1002699
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