Xiao-Jian He, Xiao-Ling Wang, Tian-Kang Su, Li-Jia Yao, Jing Zheng, Xiao-Dong Wen, Qin-Wei Xu, Qian-Rong Huang, Li-Bin Chen, Chang-Xin Chen, Hai-Fan Lin, Yi-Qun Chen, Yan-Xing Hu, Kai-Hua Zhang, Chuan-Shen Jiang, Gang Liu, Da-Zhou Li, Dong-Liang Li, Wang Wen
BACKGROUND: Inaccurate Forrest classification may significantly affect clinical outcomes, especially in high risk patients. Therefore, this study aimed to develop a real-time deep convolutional neural network (DCNN) system to assess the Forrest classification of peptic ulcer bleeding (PUB). METHODS: A training dataset (3868 endoscopic images) and an internal validation dataset (834 images) were retrospectively collected from the 900th Hospital, Fuzhou, China. In addition, 521 images collected from four other hospitals were used for external validation...
February 27, 2024: Endoscopy