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Clinical impact of variability on CT radiomics and suggestions for suitable feature selection: a focus on lung cancer
BACKGROUND: Radiomics suffers from feature reproducibility. We studied the variability of radiomics features and the relationship of radiomics features with tumor size and shape to determine guidelines for optimal radiomics study. METHODS: We dealt with 260 lung nodules (180 for training, 80 for tes...
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| Publicado no: | Cancer Imaging |
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| Main Authors: | , , , |
| Formato: | Artigo |
| Idioma: | Inglês |
| Publicado em: |
BioMed Central
2019
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| Assuntos: | |
| Acesso em linha: | https://ncbi.nlm.nih.gov/pmc/articles/PMC6660971/ https://ncbi.nlm.nih.gov/pubmed/31349872 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1186/s40644-019-0239-z |
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