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Automated Bone Age Assessment Using Artificial Intelligence: The Future of Bone Age Assessment
Bone age assessments are a complicated and lengthy process, which are prone to inter- and intra-observer variabilities. Despite the great demand for fully automated systems, developing an accurate and robust bone age assessment solution has remained challenging. The rapidly evolving deep learning te...
Autores principales: | Lee, Byoung-Dai, Lee, Mu Sook |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
The Korean Society of Radiology
2021
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8076828/ https://www.ncbi.nlm.nih.gov/pubmed/33569930 http://dx.doi.org/10.3348/kjr.2020.0941 |
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