Texture-based Analysis of Corneal Dynamics for the Detection of Forme Fruste Keratoconus
CVS-omics effectively detects subtle characteristic alterations in FFKC eyes with superior accuracy compared to conventional biomechanical parameters. This texture feature approach shows promise as a non-invasive clinical tool for FFKC detection and timely intervention.
Authors
- Bao Fangjun
- Shenglong Luo
- Lu Fan (ORCID: https://orcid.org/0000-0002-4184-7211)
- ShiHao Chen
- XueFei Li
- Xin Zhang (ORCID: https://orcid.org/0000-0002-3833-2938)
- Kuangching Lin
- Meixiao Shen (ORCID: https://orcid.org/0000-0002-5237-267X)
- Yi-Xiang Wang (ORCID: https://orcid.org/0000-0002-4021-4228)
- Lvfu He
- Ahmed Elsheikh
Institutions
- Moorfields Eye Hospital NHS Foundation Trust (GB)
- University of Liverpool (GB)
- Wenzhou Medical University (CN)
- National Institute for Health and Care Research (GB)
- Affiliated Eye Hospital of Wenzhou Medical College (CN)
- Mianyang Third People's Hospital (CN)
- College of Optometrists (GB)
- Zhejiang Lab (CN)
- University College London (GB)
Publication Details
- Journal
- Journal of Refractive Surgery
- Published
- 2026-02-01
- DOI
- https://doi.org/10.3928/1081597x-20251125-02
- Primary Topic
- Corneal surgery and disorders
- Type
- article
- Field-Weighted Citation Impact
- 0.00