Diagnosis of pharyngeal cancer on endoscopic video images by Mask region-based convolutional neural network.

Journal: Digestive endoscopy : official journal of the Japan Gastroenterological Endoscopy Society
PMID: 32715508

Abstract

OBJECTIVES: We aimed to develop an artificial intelligence (AI) system for the real-time diagnosis of pharyngeal cancers.

Authors

  • Mitsuhiro Kono
    Department of Gastrointestinal Oncology Osaka International Cancer Institute Osaka Japan.
  • Ryu Ishihara
    Department of Gastrointestinal Oncology Osaka International Cancer Institute Osaka Japan.
  • Yusuke Kato
    AI Medical Service Inc., Tokyo, Japan.
  • Muneaki Miyake
    Department of Gastrointestinal Oncology, Osaka International Cancer Institute, 3-1-69 Otemae, Chuo-ku, Osaka, 541-8567, Japan.
  • Ayaka Shoji
    Department of Gastrointestinal Oncology, Osaka International Cancer Institute, 3-1-69 Otemae, Chuo-ku, Osaka, 541-8567, Japan.
  • Takahiro Inoue
    Department of Gastrointestinal Oncology, Osaka International Cancer Institute, 3-1-69 Otemae, Chuo-ku, Osaka, 541-8567, Japan.
  • Katsunori Matsueda
    Department of Gastrointestinal Oncology, Osaka International Cancer Institute, 3-1-69 Otemae, Chuo-ku, Osaka, 541-8567, Japan.
  • Kotaro Waki
    Department of Gastrointestinal Oncology, Osaka International Cancer Institute, 3-1-69 Otemae, Chuo-ku, Osaka, 541-8567, Japan.
  • Hiromu Fukuda
    Department of Gastrointestinal Oncology Osaka International Cancer Institute Osaka Japan.
  • Yusaku Shimamoto
    Department of Gastrointestinal Oncology Osaka International Cancer Institute Osaka Japan.
  • Yasuhiro Fujiwara
    Division of Clinical Radiology, Tottori University Hospital.
  • Tomohiro Tada
    AI Medical Service Inc Tokyo Japan.

Keywords

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