Cooperation between artificial intelligence and endoscopists for diagnosing invasion depth of early gastric cancer.

ABSTRACT:

Background and study aims

The diagnostic ability of endoscopists to determine invasion depth of early gastric cancer is not favorable. We designed an artificial intelligence (AI) classifier for differentiating intramucosal and submucosal gastric cancers and examined it to establish a diagnostic method based on cooperation between AI and endoscopists.

Patients and methods

We prepared 500 training images using cases of mainly depressed-type early gastric cancer from 250 intramucosal cancers and 250 submucosal cancers. We also prepared 200 test images each of 100 cancers from another institution. We designed an AI classifier to differentiate between intramucosal and submucosal cancers by deep learning. We examined the performance of the AI classifier and the majority vote of th

SUBMITTER: Goto A 

PROVIDER: S-EPMC9813068 | biostudies-literature | 2023 Jan

REPOSITORIES: biostudies-literature