Improving pediatric trauma care: an automated system for wrist trauma detection using GELAN

Improving pediatric trauma care: an automated system for wrist trauma detection using GELAN

<p dir="ltr">Trauma is a major cause of disability among children, requiring swift and accurate diagnosis for effective treatment. This paper introduces an automated method that uses deep learning to detect and categorize fractures in children using X-ray images. The system makes use...

Full description

Saved in:
Bibliographic Details
Main Author: Promit Basak (22997776) (author)
Other Authors: Adam Mushtak (22048013) (author), Mohamed Ouda (21394001) (author), Sadia Farhana Nobi (21512813) (author), Anwarul Hasan (1332066) (author), Muhammad E. H. Chowdhury (14150526) (author)
Published: 2025
Subjects:
Biomedical and clinical sciences
Clinical sciences
Health sciences
Health services and systems
Information and computing sciences
Computer vision and multimedia computation
Machine learning
Pediatric trauma
Fracture detection
Deep learning
X-ray
Medical imaging
Generalized efficient layer aggregation network (GELAN)
Tags: Add Tag
No Tags, Be the first to tag this record!

Similar Items