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...

Descripción completa

Detalles Bibliográficos
Autores principales: 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: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2018
Materias:
Research Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6258509/
https://www.ncbi.nlm.nih.gov/pubmed/30481176
http://dx.doi.org/10.1371/journal.pmed.1002699

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6258509/
https://www.ncbi.nlm.nih.gov/pubmed/30481176
http://dx.doi.org/10.1371/journal.pmed.1002699

Ejemplares similares