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Author

Chihiro Sakaguchi

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Open access May 2026

Performance of an Artificial Intelligence Program for Assessing the Depth of Early Gastric Cancer Using Endoscopic Images

Abstract Background and Study Aims The depth of early gastric cancer is an important factor in determining treatment plans, such as endoscopic resection or surgery. We developed an artificial intelligence (AI) program using deep neural networks to diagnose mucosal and submucosal cancers via endoscopic images. Performan...

Shoichiro Hirata, K. Hamada, Yoshiro Kawahara et al. · 0 citations

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