Automated measurement of leg length discrepancy from infancy to adolescence based on cascaded LLDNet and comprehensive assessment

BACKGROUND: Deep learning (DL) has been suggested for the automated measurement of leg length discrepancy (LLD) on radiographs, which could free up time for pediatric radiologists to focus on value-adding duties. The purpose of our study was to develop a unified solution using DL for both automated...

Descripción completa

Detalles Bibliográficos
Autores principales: Zheng, Qiang, Liu, Bin, Tong, Xiangrong, Liu, Jungang, Wang, Jian, Zhang, Lin
Formato: Online Artículo Texto
Lenguaje:English
Publicado: AME Publishing Company 2022
Materias:
Original Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9929401/
https://www.ncbi.nlm.nih.gov/pubmed/36819275
http://dx.doi.org/10.21037/qims-22-282

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9929401/
https://www.ncbi.nlm.nih.gov/pubmed/36819275
http://dx.doi.org/10.21037/qims-22-282

Ejemplares similares