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...

Descripción completa

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

Internet

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

Ejemplares similares