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

(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

This item was part of the Oesophageal, Gastric and Duodenal Disorders II (Posters) session at UEG Week 2019

This item can be cited as: United European Gastroenterology Journal Volume 7 Issue 8 (Supplement), October 2019