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Deep Learning-Assisted Diagnosis of Pediatric Skull Fractures on Plain Radiographs

OBJECTIVE: To develop and evaluate a deep learning-based artificial intelligence (AI) model for detecting skull fractures on plain radiographs in children. MATERIALS AND METHODS: This retrospective multi-center study consisted of a development dataset acquired from two hospitals (n = 149 and 264) an...

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Detalles Bibliográficos
Autores principales:	Choi, Jae Won, Cho, Yeon Jin, Ha, Ji Young, Lee, Yun Young, Koh, Seok Young, Seo, June Young, Choi, Young Hun, Cheon, Jung-Eun, Phi, Ji Hoon, Kim, Injoon, Yang, Jaekwang, Kim, Woo Sun
Formato:	Online Artículo Texto
Lenguaje:	English
Publicado:	The Korean Society of Radiology 2022
Materias:	Pediatric Imaging
Acceso en línea:	https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8876653/ https://www.ncbi.nlm.nih.gov/pubmed/35029078 http://dx.doi.org/10.3348/kjr.2021.0449

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