A learning curve for endoscopic submucosal dissection of gastric epithelial neoplasms
Naomi Kakushima(Shizuoka Cancer Center), Masao Omata(The University of Tokyo), Yosuke Muraki(The University of Tokyo), Ayako Tateishi(The University of Tokyo), Shinya Kodashima(The University of Tokyo), Mitsuhiro Fujishiro(Bunkyo University)
Cited by 166
Related Papers
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
Guidelines for gastroenterological endoscopy in patients undergoing antithrombotic treatment
|Digestive Endoscopy|2013|469