Applying deep learning to recognize the properties of vitreous opacity in ophthalmic ultrasound images.

Journal: Eye (London, England)
Published Date:

Abstract

BACKGROUND: To explore the feasibility of artificial intelligence technology based on deep learning to automatically recognize the properties of vitreous opacities in ophthalmic ultrasound images.

Authors

  • Li Feng
    Department of Radiation Oncology, China-Japan Union Hospital of Jilin University, Changchun, China.
  • Yanzhu Zhang
    Shenyang Ligong University, Shenyang, China.
  • Wei Wei
    Dept. Biomedical Informatics, University of Pittsburgh, Pittsburgh, PA, USA.
  • Hui Qiu
    Department of Emergency Surgery, The west campus of Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China.
  • Mingyu Shi
    Department of Ophthalmology, The Fourth Affiliated Hospital of China Medical University, Eye Hospital of China Medical University, The Key Laboratory of Lens in Liaoning Province, Shenyang, China. xm5788@163.com.