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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Veröffentlicht in:PLoS Med
Hauptverfasser: 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
Sprache:Inglês
Veröffentlicht: Public Library of Science 2018
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Research Article
Online Zugang: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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