Publication
Evaluation of Computer-aided Detection for Identifying Missed Gastric Cancer After Endoscopic Submucosal Dissection.
Tatsunori Minamide, Tomonori Sato, Seiichiro Sakaguchi, Noboru Kawata, Yuki Maeda, Masao Yoshida, Yoichi Yamamoto, Taishi Okumura, Tetsuya Suwa, Hiroshi Ashizawa, Kohei Shigeta, Haruka Nakamura, Akifumi Notsu, Toshio Uraoka, Hiroyuki Ono
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- PubMed
- Retrieved
- Sep 16, 2026
- Layer
- normalized (units and labels harmonized; values unchanged)
- Run
- ING-PUBMED-20260916-000001
Abstract
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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…
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- cancerMalignant Gastric Neoplasmdictionary0.60
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