Application of convolutional neural networks for evaluating the depth of invasion of early gastric cancer based on endoscopic images.
Kenta HamadaYoshiro KawaharaTakayoshi TanimotoAkimitsu OhtoAkira TodaToshiaki AidaYasushi YamasakiTatsuhiro GotodaTaiji OgawaMakoto AbeShotaro OkanoueKensuke TakeiSatoru KikuchiShinji KurodaToshiyoshi FujiwaraHiroyuki OkadaPublished in: Journal of gastroenterology and hepatology (2021)
The application of AI using CNN to evaluate the depth of invasion of EGCs based on endoscopic images is feasible, and it is worth investing more effort to put this new technology into practical use.