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...

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Detalles Bibliográficos
Autores principales: Lee, Byoung-Dai, Lee, Mu Sook
Formato: Online Artículo Texto
Lenguaje:English
Publicado: The Korean Society of Radiology 2021
Materias:
Pediatric Imaging
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

Internet

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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