[Object Detection Model Utilizing Deep Learning to Identify Retained Surgical Gauze in the Body on Postoperative Radiography: Phantom Study].

Journal: Nihon Hoshasen Gijutsu Gakkai zasshi
Published Date:

Abstract

PURPOSE: Foreign bodies such as a surgical gauze can be retained in the body after surgery and in some cases cannot be detected by postoperative radiography. The aim of this study was to develop an object detection model capable of postsurgical detection of retained gauze in the body. The object detection model used deep learning using abdominal radiographs, and a phantom study was performed to evaluate the ability of the model to automatically detect retained surgical gauze.

Authors

  • Takao Tanuma
    Imaging Center, St. Marianna University School of Medicine Hospital.
  • Tatsuaki Kobayashi
    School of Allied Health Sciences, Kitasato University.
  • Eichi Takaya
    Graduate School of Science and Technology, Keio University.
  • Daigo Suzuki
    Imaging Center, St. Marianna University School of Medicine Hospital.
  • Mika Inoue
    Imaging Center, St. Marianna University School of Medicine Hospital.
  • Tatsuo Yoshikawa
    Imaging Center, St. Marianna University School of Medicine Hospital.
  • Yasuyuki Kobayashi