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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...

पूर्ण विवरण

में बचाया:
ग्रंथसूची विवरण
में प्रकाशित:PLoS Med
मुख्य लेखकों: 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.
स्वरूप: Artigo
भाषा:Inglês
प्रकाशित: Public Library of Science 2018
विषय:
ऑनलाइन पहुंच: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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