BTS-DSN: Deeply supervised neural network with short connections for retinal vessel segmentation.

Journal: International journal of medical informatics
Published Date: Apr 1, 2019

Abstract

BACKGROUND AND OBJECTIVE: The condition of vessel of the human eye is an important factor for the diagnosis of ophthalmological diseases. Vessel segmentation in fundus images is a challenging task due to complex vessel structure, the presence of similar structures such as microaneurysms and hemorrhages, micro-vessel with only one to several pixels wide, and requirements for finer results.

Authors

  • Song Guo
    Nankai University, Tianjin, China.
  • Kai Wang
    Department of Rheumatology, The Affiliated Huai'an No. 1 People's Hospital of Nanjing Medical University, Huai'an, Jiangsu, China.
  • Hong Kang
    School of Biomedical Informatics, The University of Texas Health Science Center at Houston, Texas, USA.
  • Yujun Zhang
    Institute of Computing Technology, Chinese Academy, China.
  • Yingqi Gao
    Nankai University, Tianjin, China.
  • Tao Li
    Department of Emergency Medicine, Jining No.1 People's Hospital, Jining, China.

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