Strip and boundary detection multi-task learning network for segmentation of meibomian glands.

Journal: Medical physics
Published Date: Nov 26, 2024

Abstract

BACKGROUND: Automatic segmentation of meibomian glands in near-infrared meibography images is basis of morphological parameter analysis, which plays a crucial role in facilitating the diagnosis of meibomian gland dysfunction (MGD). The special strip shape and the adhesion between glands make the automatic segmentation of meibomian glands very challenging.

Authors

  • Weifang Zhu
  • Dengfeng Liu
    MIPAV Lab, School of Electronic and Information Engineering, Soochow University, Suzhou, China.
  • Xinyu Zhuang
    Department of Ophthalmology, The Fourth Affiliated Hospital of Soochow University, Suzhou, China.
  • Tian Gong
    MIPAV Lab, School of Electronic and Information Engineering, Soochow University, Suzhou, China.
  • Fei Shi
    Medical Image Processing, Analysis, and Visualization (MIVAP) Lab, School of Electronics and Information Engineering, Soochow University, Suzhou, China.
  • Dehui Xiang
  • Tao Peng
    Department of Biology, Shantou University, Shantou, China.
  • Xiaofeng Zhang
    College of Medicine, Xi'an International University, Shaanxi, P. R. China.
  • Xinjian Chen
    Medical Image Processing, Analysis, and Visualization (MIVAP) Lab, School of Electronics and Information Engineering, Soochow University, Suzhou, China.

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