Fig. 1

Framework for radiomics analysis. The Grow Cut Gaussian Mixture Model was used to generate volumetric tumor segmentation from the T1w DCE-MRI. Next, radiomics analysis was performed to extract the texture measures from the segmented volumes followed by machine learning analysis consisting of feature pre-filtering using Maximum Relevance Minimum Redundancy (MRMR) and generalized linear regression with elastic net constraints feature selection (GLMNet), followed by a recursive feature elimination random forest (RFE-RF) classifier for extracting a model for detecting a pCR