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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Detalles Bibliográficos
Autores principales: Lee, Seung-Hak, Cho, Hwan-ho, Lee, Ho Yun, Park, Hyunjin
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2019
Materias:
Research Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6660971/
https://www.ncbi.nlm.nih.gov/pubmed/31349872
http://dx.doi.org/10.1186/s40644-019-0239-z

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6660971/
https://www.ncbi.nlm.nih.gov/pubmed/31349872
http://dx.doi.org/10.1186/s40644-019-0239-z

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