EXPLAINABLE AI-BASED MULTIPARAMETRIC MRI RADIOMICS FOR PREDICTING CLINICALLY SIGNIFICANT PROSTATE CANCER
An explainable mpMRI radiomics framework may provide complementary quantitative information to PI-RADS and clinical variables for prediction of prostate cancer diagnosis and SHAP-based explanations can link model predictions to anatomically plausible imaging characteristics.
Sacheena Kumbara, Sudha Y. Soudi, Pramod Kumar V
· EPRA international journal o... · 0 citations