Application of convolutional neural networks to evaluating the invasion depth of early gastric cancer based on endoscopic images

Kenta Hamada  1     Yoshiro Kawahara  2     Toshiaki Aida  3     Hiroyuki Okada  4    
1 Okayama University Hospital,Okayama,Japan
2 Okayama University Medical School,Okayama,Japan
3 Okayama University Graduate School of Interdisciplinary Science and Engineering in Health Systems,Okayama,Japan
4 Okayama University Graduate School of Medicine, Dentistry and Pharmaceutical Sciences,Okayama,Japan

Conference
UEG Week 2019

Citation
United European Gastroenterology Journal Volume 7 Issue 8 (Supplement), October 2019


Login to access library content

Login

Do you need help setting up your myUEG account?
Contact us at [email protected]

New to myUEG?

Create myUEG account

Forgot your password?

Reset myUEG password

Social Sharing