Simple Code Implementation for Deep Learning-Based Segmentation to Evaluate Central Serous Chorioretinopathy in Fundus Photography.

Journal: Translational vision science & technology
PMID: 35147661

Abstract

PURPOSE: Central serous chorioretinopathy (CSC) is a retinal disease that frequently shows resolution and recurrence with serous detachment of the neurosensory retina. Here, we present a deep learning analysis of subretinal fluid (SRF) lesion segmentation in fundus photographs to evaluate CSC.

Authors

  • Tae Keun Yoo
  • Bo Yi Kim
    Department of Ophthalmology, Severance Hospital, Yonsei University College of Medicine, Seoul, South Korea.
  • Hyun Kyo Jeong
    Department of Ophthalmology, 10 th Fighter Wing, Republic of Korea Air Force, Suwon, South Korea.
  • Hong Kyu Kim
    Department of Ophthalmology, Dankook University Hospital, Dankook University College of Medicine, Cheonan, South Korea.
  • Donghyun Yang
    Medical Research Center, Aerospace Medical Center, Republic of Korea Air Force, Cheongju, South Korea.
  • Ik Hee Ryu
    B&VIIt Eye Center, Seoul, South Korea.

Keywords

External Resources

Popular Topics
Recent Journals