MATERIALS AND METHODS
The CH‐EUS MASTER based on DCNN and Random Forest was designed to achieve three functions: (1) Capturing and segmenting the CH‐EUS pancreatic mass image in real time; (2) Assisting in identifying the benign and malignant of CH‐EUS pancreatic masses according to TIC characteristics; and (3) Guiding targeted EUS‐FNA. All authors had access to the study data and reviewed and approved the final manuscript.