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Exploratory Study to Identify Radiomics Classifiers for Lung Cancer Histology
BACKGROUND: Radiomics can quantify tumor phenotypic characteristics non-invasively by applying feature algorithms to medical imaging data. In this study of lung cancer patients, we investigated the association between radiomic features and the tumor histologic subtypes (adenocarcinoma and squamous c...
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| 出版年: | Front Oncol |
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| 主要な著者: | , , , , , , , |
| フォーマット: | Artigo |
| 言語: | Inglês |
| 出版事項: |
Frontiers Media S.A.
2016
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| 主題: | |
| オンライン･アクセス: | https://ncbi.nlm.nih.gov/pmc/articles/PMC4811956/ https://ncbi.nlm.nih.gov/pubmed/27064691 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.3389/fonc.2016.00071 |
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