The “Peeking” Effect in Supervised Feature Selection on Diffusion Tensor Imaging Data

S. Diciotti; S. Ciulli; M. Mascalchi; M. Giannelli; N. Toschi

doi:10.3174/ajnr.A3685

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The “Peeking” Effect in Supervised Feature Selection on Diffusion Tensor Imaging Data

S. Diciotti, S. Ciulli, M. Mascalchi, M. Giannelli and N. Toschi

American Journal of Neuroradiology September 2013, 34 (9) E107; DOI: https://doi.org/10.3174/ajnr.A3685

S. Diciotti

aDepartment of Clinical and Experimental Biomedical Sciences University of Florence Florence, Italy

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S. Ciulli

aDepartment of Clinical and Experimental Biomedical Sciences University of Florence Florence, Italy

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M. Mascalchi

aDepartment of Clinical and Experimental Biomedical Sciences University of Florence Florence, Italy

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M. Giannelli

bUnit of Medical Physics Pisa University Hospital Azienda Ospedaliero-Universitaria Pisana Pisa, Italy

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N. Toschi

cMedical Physics Section, Department of Biomedicine and Prevention Faculty of Medicine University of Rome Tor Vergata Rome, Italy

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vol. 34 no. 9 E107

DOI

https://doi.org/10.3174/ajnr.A3685

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23868167

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American Journal of Neuroradiology

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0195-6108

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1936-959X

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S. Diciotti, S. Ciulli, M. Mascalchi, M. Giannelli, N. Toschi

The “Peeking” Effect in Supervised Feature Selection on Diffusion Tensor Imaging Data

American Journal of Neuroradiology Sep 2013, 34 (9) E107; DOI: 10.3174/ajnr.A3685

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The “Peeking” Effect in Supervised Feature Selection on Diffusion Tensor Imaging Data

S. Diciotti, S. Ciulli, M. Mascalchi, M. Giannelli, N. Toschi

American Journal of Neuroradiology Sep 2013, 34 (9) E107; DOI: 10.3174/ajnr.A3685

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The incremental value of computed tomography of COVID-19 pneumonia in predicting ICU admission

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