Development and performance evaluation of a deep learning lung nodule detection system.

Journal: BMC medical imaging
Published Date: Nov 22, 2022

Abstract

BACKGROUND: Lung cancer is the leading cause of cancer-related deaths throughout the world. Chest computed tomography (CT) is now widely used in the screening and diagnosis of lung cancer due to its effectiveness. Radiologists must identify each small nodule shadow from 3D volume images, which is very burdensome and often results in missed nodules. To address these challenges, we developed a computer-aided detection (CAD) system that automatically detects lung nodules in CT images.

Authors

  • Shichiro Katase
    Department of Radiology, Faculty of Medicine, Kyorin University, 6-20-2, Shinkawa, Mitaka-shi, Tokyo, Japan. skatase@ks.kyorin-u.ac.jp.
  • Akimichi Ichinose
    Imaging Technology Center, ICT Strategy Division, Fujifilm Corporation, 2-26-30, Nishi-Azabu, Minato-ku, Tokyo, Japan.
  • Mahiro Hayashi
    Department of Radiology, Faculty of Medicine, Kyorin University, 6-20-2, Shinkawa, Mitaka-shi, Tokyo, Japan.
  • Masanaka Watanabe
    Department of Urology, Kyorin University School of Medicine, Tokyo, Japan.
  • Kinka Chin
    Department of Radiology, Faculty of Medicine, Kyorin University, 6-20-2, Shinkawa, Mitaka-shi, Tokyo, Japan.
  • Yuhei Takeshita
    Department of Radiology, Faculty of Medicine, Kyorin University, 6-20-2, Shinkawa, Mitaka-shi, Tokyo, Japan.
  • Hisae Shiga
    Department of Radiology, Faculty of Medicine, Kyorin University, 6-20-2, Shinkawa, Mitaka-shi, Tokyo, Japan.
  • Hidekatsu Tateishi
    Department of Radiology, Faculty of Medicine, Kyorin University, 6-20-2, Shinkawa, Mitaka-shi, Tokyo, Japan.
  • Shiro Onozawa
    Department of Radiology, Faculty of Medicine, Kyorin University, 6-20-2, Shinkawa, Mitaka-shi, Tokyo, Japan.
  • Yuya Shirakawa
    Department of Radiology, Kyorin University Hospital, 6-20-2, Shinkawa, Mitaka-shi, Tokyo, Japan.
  • Koji Yamashita
    Department of Gastroenterology and Hepatology Musashino Red Cross Hospital Tokyo Japan.
  • Jun Shudo
    Department of Radiology, Kyorin University Hospital, 6-20-2, Shinkawa, Mitaka-shi, Tokyo, Japan.
  • Keigo Nakamura
    Imaging Technology Center, ICT Strategy Division, Fujifilm Corporation, 2-26-30, Nishi-Azabu, Minato-ku, Tokyo, Japan.
  • Akihito Nakanishi
    Department of Radiology, Kyorin University Hospital, 6-20-2, Shinkawa, Mitaka-shi, Tokyo, Japan.
  • Kazunori Kuroki
    Department of Radiology, Faculty of Medicine, Kyorin University, 6-20-2, Shinkawa, Mitaka-shi, Tokyo, Japan.
  • Kenichi Yokoyama
    Department of Radiology, Kyorin University School of Medicine, Tokyo, Japan.

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