Endoscopic ultrasound diagnosis system based on deep learning in images capture and segmentation training of solid pancreatic masses

• Published in: Medical physics (Lancaster) Vol. 50; no. 7; pp. 4197 - 4205
• Main Authors: Tang, Anliu, Gong, Pan, Fang, Ning, Ye, Mingmei, Hu, Shan, Liu, Jinzhu, Wang, Wujun, Gao, Kui, Wang, Xiaoyan, Tian, Li
• Format: Journal Article
• Language: English
• Published: United States 01.07.2023
• Subjects: contrast‐enhanced harmonic endoscopic ultrasound; Deep Learning; Endosonography - methods; Humans; images capture and segmentation; Pancreas - diagnostic imaging; Pancreatic Neoplasms - diagnostic imaging; Retrospective Studies; solid pancreatic masses; training; deep learning; contrast-enhanced harmonic endoscopic ultrasound; training; images capture and segmentation; solid pancreatic masses

Background Early detection of solid pancreatic masses through contrast‐enhanced harmonic endoscopic ultrasound (CH‐EUS) is important. But CH‐EUS is difficult to learn. Purpose To design a deep learning‐based CH‐EUS diagnosis system (CH‐EUS MASTER) for real‐time capture and segmentation of solid panc...