Figure 1
From: Machine Learning methods for Quantitative Radiomic Biomarkers
A total of 440 radiomic features were extracted from the segmented tumor regions of the pre-treatment CT images of 464 NSCLC patients.
Feature selection and classification training was done using the training cohort Lung1 (n = 310), whereas Lung2 (n = 154) cohort was used as a validation cohort.
