基于多参数MRI的瘤内并瘤周区域Delta影像组学特征构建的可解释性机器学习模型对乳腺癌新辅助治疗效果的预测效能

Construction of an interpretable machine learning model based on Delta radiomic features of intratumoral and peritumoral regions on multi-parametric MRI for predicting the efficacy of neoadjuvant therapy for breast cancer