Deep Learning-Based Computer-Aided Diagnosis System for Localization and Diagnosis of Metastatic Lymph Nodes on Ultrasound: A Pilot Study.

Journal: Thyroid : official journal of the American Thyroid Association
Published Date: Oct 1, 2018

Abstract

BACKGROUND: The presence of metastatic lymph nodes is a prognostic indicator for patients with thyroid carcinomas and is an important determinant of clinical decision making. However, evaluating neck lymph nodes requires experience and is labor- and time-intensive. Therefore, the development of a computer-aided diagnosis (CAD) system to identify and differentiate metastatic lymph nodes may be useful.

Authors

  • Jeong Hoon Lee
    1 Division of Biomedical Informatics, Seoul National University Biomedical Informatics, Seoul National University College of Medicine , Seoul, Korea.
  • Jung Hwan Baek
    1 Department of Radiology and Research Institute of Radiology, Asan Medical Center, University of Ulsan College of Medicine , Seoul, Korea.
  • Ju Han Kim
    Department of Cardiovascular Medicine, Chonnam National University Hospital, Gwangju, Korea.
  • Woo Hyun Shim
    Department of Radiology and Research Institute of Radiology, Asan Medical Center, University of Ulsan College of Medicine, Seoul, Republic of Korea.
  • Sae Rom Chung
    2 Department of Radiology and the Research Institute of Radiology University of Ulsan College of Medicine , Seoul, Korea.
  • Young Jun Choi
    1 Department of Radiology and Research Institute of Radiology, Asan Medical Center, University of Ulsan College of Medicine , Seoul, Korea.
  • Jeong Hyun Lee
    1 Department of Radiology and Research Institute of Radiology, Asan Medical Center, University of Ulsan College of Medicine , Seoul, Korea.

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