Collaborative Learning for Annotation-Efficient Volumetric MR Image Segmentation.

Journal: Journal of magnetic resonance imaging : JMRI
Published Date: Dec 29, 2023

Abstract

BACKGROUND: Deep learning has presented great potential in accurate MR image segmentation when enough labeled data are provided for network optimization. However, manually annotating three-dimensional (3D) MR images is tedious and time-consuming, requiring experts with rich domain knowledge and experience.

Authors

  • Yousuf Babiker M Osman
    Paul C. Lauterbur Research Center for Biomedical Imaging, Shenzhen Institute of Advanced Technology, Chinese Academy of Sciences, Shenzhen, China.
  • Cheng Li
    College of Food and Bioengineering, Henan University of Science and Technology, Luoyang, China.
  • Weijian Huang
    Department of Cardiology, The First Affiliated Hospital of Wenzhou Medical University, Nanbaixiang Road, Ouhai District, Wenzhou 325000, People's Republic of China.
  • Shanshan Wang
    Key Laboratory of Agri-food Safety and Quality, Institute of Quality Standard and Testing Technology for Agro-Products, Chinese Academy of Agricultural Sciences, Ministry of Agriculture of China, Beijing, 100081, PR China.

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