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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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| Publié dans: | PLoS Med |
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| Auteurs principaux: | , , , , , , , , , |
| Format: | Artigo |
| Langue: | Inglês |
| Publié: |
Public Library of Science
2018
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| Sujets: | |
| 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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