Skip to main content

Advertisement

Springer Nature is making SARS-CoV-2 and COVID-19 research free. View research | View latest news | Sign up for updates

Table 2 Results of group-wise radiomic feature-based cancer classifications for hormone receptor status (training dataset)

From: Radiomic signatures with contrast-enhanced magnetic resonance imaging for the assessment of breast cancer receptor status and molecular subtypes: initial results

  HR positive HER2 positive HR negative HER2 negative Her2-enriched TN All others
HR positive 67%
(POE; 9)
79.4% (Fisher; 7) 71.3%
(Fisher; 8)
67%
(POE; 9)
HER2 positive 73.6%
(Fisher; 9)
59.5%
(Fisher; 4)
73.6%
(Fisher; 9)
HR negative 67%
(POE; 9)
67%
(POE; 9)
HER2 negative 73.6%
(Fisher; 9)
73.6%
(Fisher; 9)
HER2-enriched 79.4%
(Fisher; 7)
TN 71.3%
(Fisher; 8)
59.5%
(Fisher; 4)
All others 67%
(POE; 9)
73.6%
(Fisher; 9)
67%
(POE; 9)
73.6%
(Fisher; 9)
  1. HER2 human epidermal growth factor receptor 2, HR hormone receptor, MI mutual information, POE probability of error and average correlation, TN triple negative. The feature selection algorithm and number of features used for classification are given in parentheses