Deep learning assisted diagnosis system: improving the diagnostic accuracy of distal radius fractures

OBJECTIVES: To explore an intelligent detection technology based on deep learning algorithms to assist the clinical diagnosis of distal radius fractures (DRFs), and further compare it with human performance to verify the feasibility of this method. METHODS: A total of 3,240 patients (fracture: n = 1...

Descripción completa

Detalles Bibliográficos
Autores principales: Zhang, Jiayao, Li, Zhimin, Lin, Heng, Xue, Mingdi, Wang, Honglin, Fang, Ying, Liu, Songxiang, Huo, Tongtong, Zhou, Hong, Yang, Jiaming, Xie, Yi, Xie, Mao, Lu, Lin, Liu, Pengran, Ye, Zhewei
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2023
Materias:
Medicine
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10471443/
https://www.ncbi.nlm.nih.gov/pubmed/37663656
http://dx.doi.org/10.3389/fmed.2023.1224489

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10471443/
https://www.ncbi.nlm.nih.gov/pubmed/37663656
http://dx.doi.org/10.3389/fmed.2023.1224489

Ejemplares similares