Integrating radiomic and perfusion kinetics from DCE-MRI for accurate prediction of pathological response to neoadjuvant chemotherapy.
A new multi-modal machine learning framework that combines the structural, textural and functional imaging biomarkers obtained from Dynamic Contrast-Enhanced MRI for non-invasive classification of complete response (CR) and partial response (PR) shows that the combination of perfusion dynamics with radiomic descriptors...