A multi-model fusion approach incorporating conventional radiological and machine learning features across age spectrum for periorbital fat status prediction
Our ensemble learning model achieved non-invasive and reliable assessment of periorbital fat status across the entire age spectrum, enriching the evaluation methodology for rejuvenation surgery.
Authors
- Y Han
- Meng Wang (ORCID: https://orcid.org/0000-0002-6448-1267)
- Lei Li (ORCID: https://orcid.org/0000-0001-8723-3461)
- Xi Lü (ORCID: https://orcid.org/0000-0003-4751-8408)
- LingLi Guo
- Yiqing Jia
Institutions
- Chinese PLA General Hospital (CN)
Publication Details
- Journal
- Frontiers in Medicine
- Published
- 2026-02-25
- DOI
- https://doi.org/10.3389/fmed.2026.1752016
- Primary Topic
- Meningioma and schwannoma management
- Type
- article
- Field-Weighted Citation Impact
- 0.00