A pipeline of comparison con CV using a classifier vs HLCM_EM version of the same classifier.

HLCM_EM meta-classification algorithm (META) vs vanilla classification algorithm (ALGO) comparing performance metrics among various classifiers

HCLM_EM meta-classifiers using various classifiers as method to classify the lattent classes

10, 100 and 1000 synthetic features based on a permutation of the original features were created and tested the performance of the HLCM_EM algorithm with the purpose of checking the robustness against dummy features

preliminary results of modeling radiomic features to predict recurrence in Breast Cancer (BRCA)