Detecting hip osteoarthritis on clinical CT: a deep learning application based on 2-D summation images derived from CT

SUMMARY: We developed and compared deep learning models to detect hip osteoarthritis on clinical CT. The CT-based summation images, CT-AP, that resemble X-ray radiographs can detect radiographic hip osteoarthritis and in the absence of large training data, a reliable deep learning model can be optim...

Descripción completa

Detalles Bibliográficos
Autores principales: Gebre, R. K., Hirvasniemi, J., van der Heijden, R. A., Lantto, I., Saarakkala, S., Leppilahti, J., Jämsä, T.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Springer London 2021
Materias:
Original Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8813821/
https://www.ncbi.nlm.nih.gov/pubmed/34476540
http://dx.doi.org/10.1007/s00198-021-06130-y

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8813821/
https://www.ncbi.nlm.nih.gov/pubmed/34476540
http://dx.doi.org/10.1007/s00198-021-06130-y

Ejemplares similares