GMNN and cancer: The risk stratification machine learning model using Logistic regression (L1 regularization) combining morphological parameters and molecular markers-αvβ6, EGFR, CD17, McM2, geminin, and Ki-67 differentiated cancer and HGD from LRL with sensitivity and specificity of 78% and 88% respectively [9].