Joint segmentation and classification of hepatic lesions in ultrasound images using deep learning.

Journal: European radiology
Published Date: Apr 21, 2021

Abstract

OBJECTIVES: To develop a convolutional neural network system to jointly segment and classify a hepatic lesion selected by user clicks in ultrasound images.

Authors

  • Hwaseong Ryu
    Department of Radiology, Pusan National University Yangsan Hospital, Yangsan, Republic of Korea.
  • Seung Yeon Shin
    Department of Electrical and Computer Engineering, Automation and Systems Research Institute, Seoul National University, 1 Gwanak-ro, Gwanak-gu, Seoul, 08826, South Korea.
  • Jae Young Lee
    Department of Radiology and the Institute of Radiation Medicine, Seoul National University Hospital, Seoul, Republic of Korea. leejy4u@gmail.com.
  • Kyoung Mu Lee
    Department of Electrical and Computer Engineering, Automation and Systems Research Institute, Seoul National University, 1 Gwanak-ro, Gwanak-gu, Seoul, 08826, South Korea.
  • Hyo-Jin Kang
    Department of Radiology and the Institute of Radiation Medicine, Seoul National University Hospital, Seoul, Republic of Korea.
  • Jonghyon Yi
    Medical Imaging R&D Group, Health & Medical Equipment Business, Samsung Electronics Co., Ltd., Seoul, Republic of Korea.

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