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Table 3 Classification accuracy of features in external CV*

From: Histological image classification using biologically interpretable shape-based features

Endpoint GLCM Color GLCM Wavelet Topological Nuclear Combined traditional Shape (Proposed) All
DAG 0.57 ± 0.04 0.67 ± 0.02 0.52 ± 0.06 0.50 ± 0.03 0.66 ± 0.03 0.79 ± 0.04a 0.77 ± 0.03b 0.78 ± 0.03c
CH vs. CC 0.75 ± 0.05 0.77 ± 0.05 0.74 ± 0.05 0.74 ± 0.05 0.76 ± 0.06 0.81 ± 0.03 0.83 ± 0.05 0.82 ± 0.05
CH vs. ON 0.76 ± 0.05 0.68 ± 0.06 0.67 ± 0.05 0.72 ± 0.05 0.79 ± 0.05 0.86 ± 0.05 0.84 ± 0.04 0.88 ± 0.04
CH vs. PA 0.85 ± 0.04 0.95 ± 0.02 0.86 ± 0.05 0.80 ± 0.04 0.91 ± 0.04 0.94 ± 0.02 0.96 ± 0.02 0.96 ± 0.03
CC vs. ON 0.74 ± 0.06 0.78 ± 0.06 0.63 ± 0.03 0.77 ± 0.07 0.93 ± 0.04 0.93 ± 0.04 0.90 ± 0.07 0.91 ± 0.05
CC vs. PA 0.78 ± 0.06 0.97 ± 0.04 0.69 ± 0.09 0.59 ± 0.07 0.76 ± 0.07 0.95 ± 0.05 0.95 ± 0.04 0.97 ± 0.03
ON vs. PA 0.74 ± 0.07 0.86 ± 0.06 0.74 ± 0.07 0.65 ± 0.04 0.96 ± 0.03 0.97 ± 0.03 0.93 ± 0.04 0.92 ± 0.04
  1. * The difference between a, b, and c is not statistically significant; p-values of the null hypothesis between a & b; a & c; and b & c using a t-test are 0.16, 0.70, and 0.23, respectively.