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Table 2 Differences of selected texture features between CA and HCM

From: Texture analysis of T2-weighted cardiovascular magnetic resonance imaging to discriminate between cardiac amyloidosis and hypertrophic cardiomyopathy

Image type Feature class Features names CA HCM P value
Wavelet-LHL GLRLM Long run emphasis 6.639 (5.796, 7.310) 7.360 (6.721, 8.266)  < 0.0001
Wavelet-LHL GLRLM Short run emphasis 0.535 (0.510, 0.567) 0.504 (0.478, 0.530)  < 0.0001
Wavelet-LLH GLRLM Long run emphasis 143.8 (104.5, 192.4) 193.9 (148.7, 252.2)  < 0.0001
Wavelet-HLH GLDM Small dependence high gray level emphasis 0.143 ± 0.019 0.128 ± 0.016  < 0.0001
Original First order Skewness 0.323 ± 0.436 0.107 ± 0.447  < 0.0001
Original GLDM Large dependence emphasis 48.3 (38.8, 56.2) 55.6 (50.2, 60.0)  < 0.0001
Original GLDM Correlation 0.911 (0.858, 0.951) 0.819 (0.712, 0.908)  < 0.0001
  1. GLRLM: gray level run length matrix, GLDM: gray level dependence matrix, GLCM: gray level co-occurrence matrix; H: high wavelet filter; L: low wavelet filter