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Table 1 First order and second and high order texture features

From: Diagnostic performance of machine learning applied to texture analysis-derived features for breast lesion characterisation at automated breast ultrasound: a pilot study

Histogram-derived

GLCM

GLRLM

GLSZM

Entropy

Contrast

Short-run emphasis (SRE)

Small zone emphasis (SZE)

Variance

Correlation

Long-run emphasis (LRE)

Large zone emphasis (LZE)

Skewness

Energy

Grey-level non-uniformity (GLN)

Grey-level non-uniformity (GLN)

Kurtosis

Homogeneity

Run length non-uniformity (RLN)

Zone-size non-uniformity (ZSN)

Contrast

Short-run emphasis (SRE)

Run percentage (RP)

Zone percentage (ZP)

Correlation

Long-run emphasis (LRE)

Low grey-level run emphasis (LGRE)

Low grey-level zone emphasis (LGZE)

Energy

Grey-level non-uniformity (GLN)

High grey-level run emphasis (HGRE)

High grey-level zone emphasis (HGZE)

Homogeneity

Run length non-uniformity (RLN)

Short-run low grey-level emphasis (m_SRLGE)

Small zone low-grey level emphasis (SZLGE)

Run percentage (RP)

Short-run high grey-level emphasis (SRHGE)

Small zone high grey level emphasis (SHZGE)

Low grey-level run emphasis (LGRE)

Long-run low grey-level emphasis (LRLGE)

Large zone low grey-level emphasis (LZLGE)

High grey-level run emphasis (HGRE)

Long-run high-grey level emphasis (LRHGE)

Large zone high grey-level (LZHGE)

Short-run low grey-level emphasis (SRLGE)

 

Grey-level variance (GLV)

Short-run high grey-level emphasis (SRHGE)

 

Zone-size variance (ZSV)

Long-run low grey-level emphasis (LRLGE)

  

Long-run high grey-level emphasis (LRHGE)

  
  1. GLCM Grey-level co-occurrence matrix, GLRLM Grey-level run length matrix, GLSZM Grey-level size zone matrix