3D Breast Cancer Segmentation in DCE-MRI Using Deep Learning With Weak Annotation.

Journal: Journal of magnetic resonance imaging : JMRI
Published Date: Aug 19, 2023

Abstract

BACKGROUND: Deep learning models require large-scale training to perform confidently, but obtaining annotated datasets in medical imaging is challenging. Weak annotation has emerged as a way to save time and effort.

Authors

  • Ga Eun Park
    Department of Radiology, Seoul St. Mary's Hospital, College of Medicine, The Catholic University of Korea, Seoul, Republic of Korea.
  • Sung Hun Kim
    Department of Radiology, Seoul St. Mary's Hospital, College of Medicine, The Catholic University of Korea, Seoul, Republic of Korea.
  • Yoonho Nam
    Department of Radiology, Seoul St. Mary's Hospital, College of Medicine, Catholic University of Korea, Seoul, Republic of Korea.
  • Junghwa Kang
    Division of Biomedical Engineering, Hankuk University of Foreign Studies, Yongin-si, Gyeonggi-do, Republic of Korea.
  • Minjeong Park
    Division of Biomedical Engineering, Hankuk University of Foreign Studies, Yongin, Republic of Korea.
  • Bong Joo Kang
    Department of Radiology, Seoul St. Mary's Hospital, College of Medicine, The Catholic University of Korea, Seoul, Korea.

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