Pediatric BurnNet: Robust multi-class segmentation and severity recognition under real-world imaging conditions
Objective: To establish and validate a deep learning model that simultaneously segments pediatric burn wounds and grades burn depth under complex, real-world imaging conditions. Methods: We retrospectively collected 4785 smartphone or camera photographs from hospitalized children over 5 years and an...
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| Main Authors: | , , |
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| Format: | Article |
| Language: | English |
| Published: |
SAGE Publishing
2025-07-01
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| Series: | SAGE Open Medicine |
| Online Access: | https://doi.org/10.1177/20503121251360090 |
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