Deep learning-enhanced Colmap for 3D reconstruction and segmentation of facial port-wine stains for comprehensive evaluation
High-quality 3D PWS lesions with accurate boundaries and superior color fidelity were successfully obtained. Our method integrates deep learning with Colmap to facilitate precise 3D reconstruction and segmentation of PWS lesions, offering a promising tool for PWS assessment and treatment planning.
Authors
- Eryu Wang
- Defu Chen (ORCID: https://orcid.org/0000-0002-7198-1104)
- Jiawen Zhang (ORCID: https://orcid.org/0009-0005-8143-0524)
- Haixia Qiu (ORCID: https://orcid.org/0000-0002-6556-4523)
- Shizhe Feng (ORCID: https://orcid.org/0000-0001-9766-4679)
- Ying Gu
Institutions
- Beijing Institute of Technology (CN)
- Chinese PLA General Hospital (CN)
Publication Details
- Journal
- Quantitative Imaging in Medicine and Surgery
- Published
- 2025-11-25
- DOI
- https://doi.org/10.21037/qims-2025-112
- Primary Topic
- Dermatologic Treatments and Research
- Type
- article
- Field-Weighted Citation Impact
- 0.00