A mucosal recovery software tool for endoscopic submucosal dissection in early gastric cancer

A mucosal recovery software tool for endoscopic submucosal dissection in early gastric cancer

BackgroundDue to the limited diagnostic ability, the low detection rate of early gastric cancer (EGC) is a serious health threat. The establishment of the mapping between endoscopic images and pathological images can rapidly improve the diagnostic ability to detect EGC. To expedite the learning proc...

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Bibliographic Details
Main Authors: Yinuo Zhao, Huogen Wang, Yanyan Fan, Chaohui Jin, Qinwei Xu, Jiyong Jing, Tianqiao Zhang, Xuedong Zhang, Wanyuan Chen
Format: Article
Language:English
Published: Frontiers Media S.A. 2022-12-01
Series:Frontiers in Medicine
Subjects:
mucosal recovery map
artificial intelligence
endoscopic submucosal dissection
early gastric cancer
Pathology Helper
Online Access:https://www.frontiersin.org/articles/10.3389/fmed.2022.1001383/full

Internet

https://www.frontiersin.org/articles/10.3389/fmed.2022.1001383/full

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