Segmentation of the Proximal Femur from MR Images using Deep Convolutional Neural Networks

Magnetic resonance imaging (MRI) has been proposed as a complimentary method to measure bone quality and assess fracture risk. However, manual segmentation of MR images of bone is time-consuming, limiting the use of MRI measurements in the clinical practice. The purpose of this paper is to present a...

Descripción completa

Detalles Bibliográficos
Autores principales: Deniz, Cem M., Xiang, Siyuan, Hallyburton, R. Spencer, Welbeck, Arakua, Babb, James S., Honig, Stephen, Cho, Kyunghyun, Chang, Gregory
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2018
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6220200/
https://www.ncbi.nlm.nih.gov/pubmed/30405145
http://dx.doi.org/10.1038/s41598-018-34817-6

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6220200/
https://www.ncbi.nlm.nih.gov/pubmed/30405145
http://dx.doi.org/10.1038/s41598-018-34817-6

Ejemplares similares