Deep learning for lung cancer prognostication: A retrospective multi-cohort radiomics study

BACKGROUND: Non-small-cell lung cancer (NSCLC) patients often demonstrate varying clinical courses and outcomes, even within the same tumor stage. This study explores deep learning applications in medical imaging allowing for the automated quantification of radiographic characteristics and potential...

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Detalles Bibliográficos
Autores principales: Hosny, Ahmed, Parmar, Chintan, Coroller, Thibaud P., Grossmann, Patrick, Zeleznik, Roman, Kumar, Avnish, Bussink, Johan, Gillies, Robert J., Mak, Raymond H., Aerts, Hugo J. W. L.
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/PMC6269088/
https://www.ncbi.nlm.nih.gov/pubmed/30500819
http://dx.doi.org/10.1371/journal.pmed.1002711

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6269088/
https://www.ncbi.nlm.nih.gov/pubmed/30500819
http://dx.doi.org/10.1371/journal.pmed.1002711

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