Recent Development of Techniques and Devices in Colorectal Endoscopic Submucosal Dissection
Hiroya Mizutani(The University of Tokyo), Kazuhiko Koike(Kanto Central Hospital), Shinya Kodashima(The University of Tokyo), Satoshi Ono, Yoshiki Sakaguchi(The University of Tokyo), Itaru Saito(The University of Tokyo), Seiichi Yakabi(The University of Tokyo), Mitsuhiro Fujishiro(Bunkyo University), Daisuke Ohki(The University of Tokyo), Nobutake Yamamichi(The University of Tokyo), Chihiro Takeuchi(Hoshi University), Keiko Niimi(The University of Tokyo), Chihiro Minatsuki(The University of Tokyo), Yosuke Kataoka(The University of Tokyo), Yosuke Tsuji(The University of Tokyo)
Cited by 24
Related Papers
Hepatocellular carcinoma
|Nature Reviews Disease Primers|2021|6.6k
Application of artificial intelligence using a convolutional neural network for detecting gastric cancer in endoscopic images
|Gastric Cancer|2018|742
Guidelines for endoscopic submucosal dissection and endoscopic mucosal resection for early gastric cancer
|Digestive Endoscopy|2015|575
Guidelines for endoscopic submucosal dissection and endoscopic mucosal resection for early gastric cancer (second edition)
|Digestive Endoscopy|2020|510
Diagnostic outcomes of esophageal cancer by artificial intelligence using convolutional neural networks
|Gastrointestinal Endoscopy|2018|470