Encoding Inter-Radiomic Feature Relationships As Image-Based Representations for Improved Distant Metastasis Prediction and Heterogeneity Phenotyping In Head and Neck Cancer
Conventional radiomics modeling assumes handcrafted features to be independent variables, overlooking structured inter-feature relationships that encode tumor heterogeneity and limit robust generalization across institutions. We propose a novel interaction-aw...
Proffered Program · Therapy Physics