Automated diagnosis and quantitative analysis of plus disease in retinopathy of prematurity based on deep convolutional neural networks.

Journal: Acta ophthalmologica
PMID:

Abstract

BACKGROUND: The purpose of this study was to develop an automated diagnosis and quantitative analysis system for plus disease. The system provides a diagnostic decision but also performs quantitative analysis of the typical pathological features of the disease, which helps the physicians to make the best judgement and communicate the decisions.

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.
  • Lei Liu
    Department of Science and Technology, Beijing Shijitan Hospital, Capital Medical University, Beijing, China.
  • Jimeng Lao
    Eye Hospital of Wenzhou Medical University, Wenzhou Medical University, Wenzhou, China.
  • Yirun Shao
    Eye Hospital of Wenzhou Medical University, Wenzhou Medical University, Wenzhou, China.
  • Min Zhang
    Department of Infectious Disease, The Second Xiangya Hospital of Central South University, Changsha, 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.