基于多参数MRI的瘤内联合瘤周区域Delta影像组学特征建立的可解释性机器学习模型预测乳腺癌新辅助治疗效果

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