Highly accurate artificial intelligence systems to predict the invasion depth of gastric cancer: efficacy of conventional white-light imaging, nonmagnifying narrow-band imaging, and indigo-carmine dye contrast imaging

  • Sayaka Nagao
  • , Yosuke Tsuji
  • , Yoshiki Sakaguchi
  • , Yu Takahashi
  • , Chihiro Minatsuki
  • , Keiko Niimi
  • , Hiroharu Yamashita
  • , Nobutake Yamamichi
  • , Yasuyuki Seto
  • , Tomohiro Tada
  • , Kazuhiko Koike

研究成果: ジャーナルへの寄稿記事査読

89 被引用数 (Scopus)

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Medicine and Dentistry