AI driven quantitative analysis of meibomian glands in children and adolescents: a benchmark dataset study
CAMG is a publicly available MG dataset for children and adolescents to support AI-based individualized clinical assessments. The dataset's transparent quality control processes establish a foundation for epidemiological research, promoting cross-institutional collaboration and AI-driven advancements in ophthalmology.
Authors
- Lingyi Liang
- Zhuoting Zhu (ORCID: https://orcid.org/0000-0002-9897-1192)
- Mingguang He (ORCID: https://orcid.org/0000-0002-6912-2810)
- Zongyuan Ge (ORCID: https://orcid.org/0000-0002-5880-8673)
- Kunhong Xiao (ORCID: https://orcid.org/0009-0008-7805-7193)
- Xianwen Shang (ORCID: https://orcid.org/0000-0002-2362-3222)
- Jiawen Lin (ORCID: https://orcid.org/0000-0003-2950-1776)
- Li Li (ORCID: https://orcid.org/0000-0003-4802-8689)
- Yujie Wang (ORCID: https://orcid.org/0000-0002-8304-9277)
- Kunfeng Lai
- Ying Xue
- Taichen Lai
Institutions
- Fujian Medical University (CN)
- Hong Kong Polytechnic University (HK)
- Sun Yat-sen University (CN)
- The University of Melbourne (AU)
- Monash Medical Centre (AU)
- The Royal Victorian Eye & Ear Hospital (AU)
- Centre for Eye Research Australia (AU)
- Monash Health (AU)
- Fujian Provincial Hospital (CN)
- Monash University (AU)
- Monash Institute of Medical Research (AU)
- Fuzhou University (CN)
Publication Details
- Journal
- Eye and Vision
- Published
- 2025-11-06
- DOI
- https://doi.org/10.1186/s40662-025-00460-2
- Citations
- 1
- Primary Topic
- Ocular Surface and Contact Lens
- Type
- article
- Field-Weighted Citation Impact
- 1.88
Funders
- University of Melbourne
- Natural Science Foundation of Fujian Province
- China Scholarship Council