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Hybrid descriptive-inferential method for key feature selection in prostate cancer radiomics

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Publication:6579694
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DOI10.1002/ASMB.2642MaRDI QIDQ6579694

Giuseppe Salvaggio, Alessandro Stefano, Roberto Cannella, Stefano Barone, Federica Vernuccio, Albert Comelli, Arianna Pellegrino

Publication date: 25 July 2024

Published in: Applied Stochastic Models in Business and Industry (Search for Journal in Brave)




zbMATH Keywords

image analysisprostate cancerfeature selectionradiomics


Mathematics Subject Classification ID

Statistics (62-XX)


Cites Work

  • Title not available (Why is that?)
  • Point biserial correlation coefficient and its generalization
  • On selecting interacting features from high-dimensional data
  • Adaptive conditional feature screening
  • Optimal feature selection for sparse linear discriminant analysis and its applications in gene expression data
  • Benchmark for filter methods for feature selection in high-dimensional classification data
  • High-dimensional regression in practice: an empirical study of finite-sample prediction, variable selection and ranking
  • The Point Biserial Coefficient of Correlation







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