Graph-radiomic learning (GrRAiL) descriptor to characterize imaging heterogeneity in confounding tumor pathologies
Abstract Distinguishing benign confounding pathologies from malignant neoplasms on routine imaging remains a significant challenge in solid tumors. Radiomics approaches attempt to capture lesion heterogeneity on clinical imaging (CT,MRI), but typically aggregate feature values across the region of interest (ROI), losin...