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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...
| Autores principales: | , , , , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
AME Publishing Company
2022
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| Materias: | |
| 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 |