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Feature selection methods and predictive models in CT lung cancer radiomics
Radiomics is a technique that extracts quantitative features from medical images using data‐characterization algorithms. Radiomic features can be used to identify tissue characteristics and radiologic phenotyping that is not observable by clinicians. A typical workflow for a radiomics study includes...
| Autores principales: | , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
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John Wiley and Sons Inc.
2022
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| Materias: | |
| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9860004/ https://www.ncbi.nlm.nih.gov/pubmed/36527376 http://dx.doi.org/10.1002/acm2.13869 |