New grading criterion for retinal haemorrhages in term newborns based on deep convolutional neural networks.

Journal: Clinical & experimental ophthalmology
PMID:

Abstract

BACKGROUND: To define a new quantitative grading criterion for retinal haemorrhages in term newborns based on the segmentation results of a deep convolutional neural network.

Authors

  • Jianbo Mao
    Eye Hospital of Wenzhou Medical University, Wenzhou Medical University, Wenzhou, China.
  • Yuhao Luo
    Department of Precision Machinery and Instrumentation, University of Science and Technology of China, Hefei, China.
  • Kun Chen
    Department of Anesthesiology, Yongchuan Hospital of Chongqing Medical University, Chongqing, China.
  • Jimeng Lao
    Eye Hospital of Wenzhou Medical University, Wenzhou Medical University, Wenzhou, China.
  • Ling'an Chen
    Department of Automation, University of Science and Technology of China, Hefei, China.
  • Yirun Shao
    Eye Hospital of Wenzhou Medical University, Wenzhou Medical University, Wenzhou, China.
  • Caiyun Zhang
    Eye Hospital of Wenzhou Medical University, Wenzhou Medical University, Wenzhou, China.
  • Mingzhai Sun
    University of Science and Technology of China, Department of Precision Machinery and Precision Instrumentation, Hefei, China.
  • Lijun Shen
    Department of radiation oncology, Fudan University Shanghai Cancer Center, Shanghai, China.