A deep learning-based method for detecting and classifying the ultrasound images of suspicious thyroid nodules.

Journal: Medical physics
Published Date: Nov 17, 2021

Abstract

PURPOSE: The incidence of thyroid cancer has significantly increased in the last few decades. However, diagnosis of the thyroid nodules is labor and time intensive for radiologists and strongly depends on the personal experience of the radiologists. In this pursuit, the present study envisaged to develop a deep learning-based computer-aided diagnosis (CAD) method that enabled the automatic detection and classification of suspicious thyroid nodules in order to reduce the unnecessary fine-needle aspiration biopsy.

Authors

  • Zijian Zhao
    School of Control Science and Engineering, Jinan, Shandong, People's Republic of China.
  • Congmin Yang
    School of Control Science and Engineering, Shandong University, Jinan, China.
  • Qian Wang
    Department of Radiation Oncology, China-Japan Union Hospital of Jilin University, Changchun, China.
  • Huawei Zhang
    Department of Ultrasound, Shandong Provincial Hospital Affiliated to Shandong First Medical University, Jinan, China.
  • Linlin Shi
    Department of Ultrasound, Shandong Provincial Hospital Affiliated to Shandong First Medical University, Jinan, China.
  • Zhiwen Zhang
    Department of Ultrasound, Shandong Provincial Hospital Affiliated to Shandong First Medical University, Jinan, China.

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