From: A machine learning approach for differentiating malignant from benign enhancing foci on breast MRI
Feature class | ||||
---|---|---|---|---|
Intensity featuresa | Shape featuresb | GLCM featuresc (mean and standard deviation computed along the 3D directions) | GLRLM featuresd (mean and standard deviation computed along the 3D directions) | |
Features | Max | Eccentricity | Energy | Short run emphasis |
Min | Elongation | Entropy | Long run emphasis | |
Mean | Major axis length (mm) | Inversion different moment | Grey level non-uniformity | |
Sigma | Minor axis length (mm) | Inertia | Run length non-uniformity | |
Variance | Volume (mm3) | Cluster shade | Low grey level run emphasis | |
Integrated intensity | Cluster prominence | High grey level run emphasis | ||
Short run low grey level emphasis | ||||
Short run high grey level emphasis | ||||
Long run low grey level emphasis | ||||
Long run high grey level emphasis |