Evaluation of Computer‐aided Detection for Identifying Missed Gastric Cancer After Endoscopic Submucosal Dissection
ABSTRACT Objectives Computer‐aided detection (CADe) using deep learning is promising for reducing missed gastric cancers (MGCs) and supporting physicians in double‐checking endoscopic images. We aimed to evaluate the CADe efficacy for MGCs after endoscopic submucosal dissection (ESD). Methods We collected 2324 endoscop...