Automated Vision-Language Model -Derived Clinical Descriptors Enhances Radiomic Profiling for Robust Breast Malignancy Prediction
To enhance breast malignancy prediction, this study develops a multimodal framework that integrates automated, Vision-Language Model (VLM)-derived BI-RADS lexicons with quantitative radiomic features.
Proffered Program · Diagnostic and Interventional Radiology Physics