Deep learning-based tool affects reproducibility of pes planus radiographic assessment

Angle measurement methods for measuring pes planus may lose consistency by errors between observers. If the feature points for angle measurement can be provided in advance with the algorithm developed through the deep learning method, it is thought that the error between the observers can be reduced...

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Detalles Bibliográficos
Autores principales: Koo, Jalim, Hwang, Sangchul, Han, Seung Hwan, Lee, Junho, Lee, Hye Sun, Park, Goeun, Kim, Hyeongmin, Choi, Jiae, Kim, Sungjun
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2022
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9334287/
https://www.ncbi.nlm.nih.gov/pubmed/35902681
http://dx.doi.org/10.1038/s41598-022-16995-6

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9334287/
https://www.ncbi.nlm.nih.gov/pubmed/35902681
http://dx.doi.org/10.1038/s41598-022-16995-6

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