An Interpretable Multimodality Deep Learning Model for Prognostic Prediction and Risk Stratification In Stage III-IVA Squamous Cervical Cancer Using 18f-FDG PET/CT
High-risk locally advanced cervical cancer (HR-LACC) remains challenging due to its heterogeneous prognosis and high recurrence rates, underscoring the need for precise and personalized treatment strategies. This study aims to develop and validate an interpre...
Proffered Program · Therapy Physics