The ensemble artificial intelligence (AI) method: Detection of hip fractures in AP pelvis plain radiographs by majority voting using a multi-center dataset

INTRODUCTION: This article was undertaken to explore the potential of AI in enhancing the diagnostic accuracy and efficiency in identifying hip fractures using X-ray radiographs. In the study, we trained three distinct deep learning models, and we utilized majority voting to evaluate their outcomes,...

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Detalles Bibliográficos
Autores principales: Beyaz, Salih, Yayli, Sahika Betul, Kılıc, Ersin, Doktur, Ugur
Formato: Online Artículo Texto
Lenguaje:English
Publicado: SAGE Publications 2023
Materias:
Original Research
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10685786/
https://www.ncbi.nlm.nih.gov/pubmed/38033522
http://dx.doi.org/10.1177/20552076231216549

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10685786/
https://www.ncbi.nlm.nih.gov/pubmed/38033522
http://dx.doi.org/10.1177/20552076231216549

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