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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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| 出版年: | PLoS Med |
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| 主要な著者: | , , , , , , , , , |
| フォーマット: | Artigo |
| 言語: | Inglês |
| 出版事項: |
Public Library of Science
2018
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| 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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