Diagnosis using deep-learning artificial intelligence based on the endocytoscopic observation of the esophagus
Youichi Kumagai(Social Insurance Saitama Chuo Hospital), Tomohiro Tada(American Society for Gastrointestinal Endoscopy), Kenro Kawada(Tokyo Medical and Dental University), Erito Mochiki(Social Insurance Saitama Chuo Hospital), Toshiyuki Yoshio(Japanese Foundation For Cancer Research), Kazuharu Aoyama, Mitsuhiro Fujishiro(Bunkyo University), Jun‐ichi Tamaru(Social Insurance Saitama Chuo Hospital), Tsuyoshi Ozawa(Baylor University Medical Center), Toshiaki Hirasawa(The Cancer Institute Hospital), Hideyuki Ishida(Tokyo Medical and Dental University), Soichiro Ishihara(University of Tokyo Hospital), Kaiyo Takubo(Tokyo Metropolitan Institute of Gerontology), Yuma Endo
Cited by 94
Related Papers
Japanese Society for Cancer of the Colon and Rectum (JSCCR) guidelines 2016 for the treatment of colorectal cancer
|International Journal of Clinical Oncology|2017|2.5k
Japanese Society for Cancer of the Colon and Rectum (JSCCR) guidelines 2019 for the treatment of colorectal cancer
|International Journal of Clinical Oncology|2019|2k
Application of artificial intelligence using a convolutional neural network for detecting gastric cancer in endoscopic images
|Gastric Cancer|2018|742
Japanese Society for Cancer of the Colon and Rectum (JSCCR) guidelines 2010 for the treatment of colorectal cancer
|International Journal of Clinical Oncology|2011|713
Japanese Society for Cancer of the Colon and Rectum (JSCCR) Guidelines 2014 for treatment of colorectal cancer
|International Journal of Clinical Oncology|2015|600