Automatic Segmentation of Pancreatic Tumors Using Deep Learning on a Video Image of Contrast-Enhanced Endoscopic Ultrasound

Iwasa, YuheiYuheiIwasaIwashita, TakujiTakujiIwashitaTakeuchi, YujiYujiTakeuchiIchikawa, HironaoHironaoIchikawaMita, NaokiNaokiMitaUemura, ShinyaShinyaUemuraShimizu, MasahitoMasahitoShimizuYU-TING KUOHSIU-PO WANGHara, TakeshiTakeshiHara2022-09-162022-09-162021-08-152077-0383https://scholars.lib.ntu.edu.tw/handle/123456789/620639Contrast-enhanced endoscopic ultrasound (CE-EUS) is useful for the differentiation of pancreatic tumors. Using deep learning for the segmentation and classification of pancreatic tumors might further improve the diagnostic capability of CE-EUS.enartificial intelligence; contrast enhanced; endoscopic ultrasound; microbubble; pancreatic cancer[SDGs]SDG3Automatic Segmentation of Pancreatic Tumors Using Deep Learning on a Video Image of Contrast-Enhanced Endoscopic Ultrasoundjournal article10.3390/jcm10163589344418832-s2.0-85112352763WOS:000690604700001https://scholars.lib.ntu.edu.tw/handle/123456789/582848