Burn Severity Assessment Using Deep Learning: Balancing Performance and Computational Efficiency
Burn injuries present a substantial global public health challenge. This work presents a comprehensive analytical study of eight deep learning techniques designed for assessing burn severity in terms of four characteristics: inflammation, scar, uniformity, and pigmentation, in small datasets of 2-dimensional (2D) images captured using digital (smartphone) camera
Authors
- Miad Faezipour (ORCID: https://orcid.org/0000-0003-2684-0887)
- Mo Rastgaar (ORCID: https://orcid.org/0000-0003-4638-3345)
- Md. Motiur Rahman (ORCID: https://orcid.org/0000-0001-7472-4085)
- Saeka Rahman (ORCID: https://orcid.org/0009-0009-7894-4849)
Institutions
- Purdue University West Lafayette (US)
Publication Details
- Published
- 2025-01-01
- DOI
- https://doi.org/10.5703/1288284317860
- Primary Topic
- Fire Detection and Safety Systems
- Type
- article
- Field-Weighted Citation Impact
- 0.00