Pediatric BurnNet: Robust multi-class segmentation and severity recognition under real-world imaging conditions
Dfusion provides accurate, end-to-end segmentation and depth grading of pediatric burn wounds captured in uncontrolled environments. Its robust performance and modest computational demand support deployment on mobile devices, offering rapid, objective assistance for clinicians in resource-limited settings and enabling more precise triage and treatment planning for pediatric burn care.
Authors
- Zhen Liu (ORCID: https://orcid.org/0000-0001-6052-9916)
- Xiang Li (ORCID: https://orcid.org/0000-0003-0569-2176)
- Lei Liu (ORCID: https://orcid.org/0009-0000-0312-0815)
Institutions
- Beijing Children’s Hospital (CN)
Publication Details
- Journal
- SAGE Open Medicine
- Published
- 2025-05-01
- DOI
- https://doi.org/10.1177/20503121251360090
- Citations
- 2
- Primary Topic
- Burn Injury Management and Outcomes
- Type
- article
- Field-Weighted Citation Impact
- 2.71