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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.