Gastric Cancer Detection on Endoscopic and Pathological Image

Abstract

Deep learning contributes to develop algorithms which obtain high accuracy on medical imaging. However, they focused on a certain disease and were not applied to various diseases because of difficulty in dataset construction. To address the problem, the AMED project was started collaborating with medical societies. In this paper, we report the progress and knowledge which we obtained through the project on endoscopic and pathological cancer detections.