Breast cancer molecular subtype prediction: Improving interpretability of complex machine-learning models based on multiparametric-MRI features using SHapley Additive exPlanations (SHAP) methodology.

Abstract

Authors

• Amandine Crombé
  Department of Radiology, Institut Bergonie, 33000, Bordeaux, France. a.crombe@bordeaux.unicancer.fr.
• Masako Kataoka
  Department of Diagnostic Imaging and Nuclear Medicine, Kyoto University, Graduate School of Medicine, Kyoto, Japan.

Keywords

External Resources