Data sets and preprocessing
cancer, pancreatic cancer, pancreatitis
CANCER, PATHOLOGY, PANCREATIC CANCER, PANCREATITIS
A retrospective multicenter collection of 4342 CH‐EUS images was used for training and testing of the Model 1, and 296 stable CH‐EUS videos were used for training and testing of the Model 2 taken from 296 patients with typical pancreatic masses undergoing CH‐EUS examination between January 2018 and December 2019. It was divided into a training set (including tuning set) and independent testing set at a ratio of 8:2. It was confirmed by surgical pathology that 760 cases of pancreatic cancer had 3546 images, and 190 cases of benign pancreatic masses had 886 images in the Model 1 data set. At the same time, there were 167 cancer videos and 128 pancreatitis videos in the Model 2 data set.One expert in EUS, who has performed >500 EUS‐FNA/FNB, used VGG Image Annotator (VIA) software to enclose the lesion area, and marked benign and malignant lesions according to the pathology and follow‐up, which were provided for use in the machine learning model.