Efficacy and safety of endoscopic submucosal dissection for gastric cancer in patients with liver cirrhosis
K. Ogura(The University of Tokyo), Masao Omata(The University of Tokyo), Shinya Kodashima(The University of Tokyo), Takafumi Sugimoto(The University of Tokyo), Makoto Okamoto(Japan Fisheries Research and Education Agency), Takeshi Kawabe(The University of Tokyo), Naohisa Yahagi(Keio University), Mitsuhiro Fujishiro(Bunkyo University), Naomi Kakushima(Shizuoka Cancer Center)
Cited by 39
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