Dermoscopy texture symmetry
Lesion symmetry based on its texture, comparing GLCM and color histogram features of 32x32 patches with a random forest classifier. Developed and implemented by Vincent Toureau, Universitat de les Illes Balears, 2019.Input data
- DataImageRGB
 - binary_segmentation
 - DataImageRGB
 - dermoscopic_image
 
Output data
- DataInteger
 - number_symmetry_axes
 - DataImageRGB
 - visualize_axes_of_symmetry
 - DataImageRGB
 - visualize_textural_symmetry
 
OpenDemo