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
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