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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Enregistré dans:
Détails bibliographiques
Publié dans:PLoS Med
Auteurs principaux: 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.
Format: Artigo
Langue:Inglês
Publié: Public Library of Science 2018
Sujets:
Research Article
Accès en ligne:https://ncbi.nlm.nih.gov/pmc/articles/PMC6269088/
https://ncbi.nlm.nih.gov/pubmed/30500819
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1371/journal.pmed.1002711
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