A Novel Fundus Image Reading Tool for Efficient Generation of a Multi-dimensional Categorical Image Database for Machine Learning Algorithm Training.

Journal: Journal of Korean medical science
Published Date: Aug 8, 2018

Abstract

BACKGROUND: We described a novel multi-step retinal fundus image reading system for providing high-quality large data for machine learning algorithms, and assessed the grader variability in the large-scale dataset generated with this system.

Authors

  • Sang Jun Park
    Department of Ophthalmology, Seoul National University Bundang Hospital, Seoul National University College of Medicine, Seongnam, Korea.
  • Joo Young Shin
    Department of Ophthalmology, Dongguk University Ilsan Hospital, Goyang, Korea.
  • Sangkeun Kim
    VUNO Inc., Seoul, Korea.
  • Jaemin Son
    VUNO Inc., Seoul, Korea.
  • Kyu-Hwan Jung
    VUNO Inc., Seoul, Korea.
  • Kyu Hyung Park
    Department of Ophthalmology, Seoul National University Bundang Hospital, Seoul National University College of Medicine, Seongnam, Korea.

Keywords

External Resources

Popular Topics
Recent Journals