Automated Non‐Supervised Eye Disorder Screening System Using Virtual Reality
The test results highlight its potential for real-world applications, ultimately improving the accessibility of early screening for eye disorders and remote healthcare.
Authors
- Lijing Chen (ORCID: https://orcid.org/0009-0009-4569-6930)
- Hyeonwoo Nam (ORCID: https://orcid.org/0000-0001-7162-103X)
- Gyuhae Park (ORCID: https://orcid.org/0000-0003-2396-7209)
- Hwan Heo (ORCID: https://orcid.org/0000-0003-2169-8770)
- Sang Woo Park (ORCID: https://orcid.org/0000-0003-2202-3361)
- Yinan Miao
Institutions
- Chonnam National University (KR)
- Gwangju National University of Education (KR)
- Zhejiang Sci-Tech University (CN)
- Chonnam National University Hospital (KR)
Publication Details
- Journal
- International Journal of Medical Robotics and Computer Assisted Surgery
- Published
- 2024-11-29
- DOI
- https://doi.org/10.1002/rcs.70012
- Primary Topic
- Retinal Imaging and Analysis
- Type
- article
- Field-Weighted Citation Impact
- 0.00
Funders
- Korea Evaluation Institute of Industrial Technology