Microaneurysms detection in color fundus images using machine learning based on directional local contrast.

Journal: Biomedical engineering online
Published Date: Apr 15, 2020

Abstract

BACKGROUND: As one of the major complications of diabetes, diabetic retinopathy (DR) is a leading cause of visual impairment and blindness due to delayed diagnosis and intervention. Microaneurysms appear as the earliest symptom of DR. Accurate and reliable detection of microaneurysms in color fundus images has great importance for DR screening.

Authors

  • Shengchun Long
    College of Computer Science and Technology, Zhejiang University of Technology, Hangzhou, 310023, China.
  • Jiali Chen
    College of Food Science Shenyang Agricultural University Shenyang China.
  • Ante Hu
    College of Computer Science and Technology, Zhejiang University of Technology, Hangzhou, 310023, China.
  • Haipeng Liu
    Centre for Intelligent Healthcare, Coventry University, Coventry, United Kingdom.
  • Zhiqing Chen
    Eye Center, The second Affiliated Hospital of Zhejiang University School of Medicine, Hangzhou, 310009, China.
  • Dingchang Zheng
    Research Centre of Intelligent Healthcare, Coventry University, Coventry, United Kingdom.

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