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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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書誌詳細
出版年:PLoS Med
主要な著者: 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.
フォーマット: Artigo
言語:Inglês
出版事項: Public Library of Science 2018
主題:
オンライン・アクセス: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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