A CT-based deep learning model with biological interpretation for predicting early recurrence after neoadjuvant therapy in gastric cancer.
Objective To achieve accurate prediction of early recurrence (ER) in locally advanced gastric cancer (LAGC) patients after neoadjuvant therapy (NAT) and surgery, we constructed a deep learning fusion model integrating preoperative computed tomography (CT) imaging and perioperative clinicopathological features. Method...