Automatic Segmentation of Pancreatic Tumors Using Deep Learning on a Video Image of Contrast-Enhanced Endoscopic Ultrasound
Journal
Journal of clinical medicine
Journal Volume
10
Journal Issue
16
Date Issued
2021-08-15
Author(s)
Iwasa, Yuhei
Iwashita, Takuji
Takeuchi, Yuji
Ichikawa, Hironao
Mita, Naoki
Uemura, Shinya
Shimizu, Masahito
Hara, Takeshi
Abstract
Contrast-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.
Subjects
artificial intelligence; contrast enhanced; endoscopic ultrasound; microbubble; pancreatic cancer
SDGs
Publisher
MDPI
Type
journal article