MRI–Based Multilevel Radiomics and Transformer Features for Predicting Radiation–Induced Carotid Artery Injury after Nasopharyngeal Carcinoma Radiotherapy: A Multicenter Study
To develop and validate an MRI–based fusion model (Rad–SRad–SwinT) integrating conventional radiomics (Rad), subregional radiomics (SRad), and Transformer–derived deep learning features (Swin Transformer, SwinT) to predict post–radiotherapy radiation–induced...
Poster Program · Diagnostic and Interventional Radiology Physics