Detection and position evaluation of chest percutaneous drainage catheter on chest radiographs using deep learning.

Journal: PloS one
PMID: 39133733

Abstract

PURPOSE: This study aimed to develop an algorithm for the automatic detecting chest percutaneous catheter drainage (PCD) and evaluating catheter positions on chest radiographs using deep learning.

Authors

  • Duk Ju Kim
    Department of Radiology, Jeju National University School of Medicine, Jeju Natuional University Hospital, Jeju, Republic of Korea.
  • In Chul Nam
    Department of Radiology, Jeju National University School of Medicine, Jeju Natuional University Hospital, Jeju, Republic of Korea.
  • Doo Ri Kim
    Department of Radiology, Jeju National University School of Medicine, Jeju Natuional University Hospital, Jeju, Republic of Korea.
  • Jeong Jae Kim
    Department of Radiology, Jeju National University School of Medicine, Jeju Natuional University Hospital, Jeju, Republic of Korea.
  • Im-Kyung Hwang
    Department of Radiology, Jeju National University School of Medicine, Jeju Natuional University Hospital, Jeju, Republic of Korea.
  • Jeong Sub Lee
    Department of Radiology, Jeju National University School of Medicine, Jeju Natuional University Hospital, Jeju, Republic of Korea.
  • Sung Eun Park
  • Hyeonwoo Kim
    Department of Bioinformatics, Soongsil University, Seoul 06978, Republic of Korea.

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