Application of artificial intelligence using a convolutional neural network for detecting gastric cancer in endoscopic images.

Toshiaki HirasawaKazuharu AoyamaTetsuya TanimotoSoichiro IshiharaSatoki ShichijoTsuyoshi OzawaTatsuya OhnishiMitsuhiro FujishiroKeigo MatsuoJunko FujisakiTomohiro Tada

Published in: Gastric cancer : official journal of the International Gastric Cancer Association and the Japanese Gastric Cancer Association (2018)

The constructed CNN system for detecting gastric cancer could process numerous stored endoscopic images in a very short time with a clinically relevant diagnostic ability. It may be well applicable to daily clinical practice to reduce the burden of endoscopists.

Keyphrases

convolutional neural network
artificial intelligence
deep learning
ultrasound guided
clinical practice
big data
machine learning
wastewater treatment
physical activity
room temperature
risk factors
ionic liquid