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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...

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מידע ביבליוגרפי
הוצא לאור ב:Sci Rep
Main Authors: Deniz, Cem M., Xiang, Siyuan, Hallyburton, R. Spencer, Welbeck, Arakua, Babb, James S., Honig, Stephen, Cho, Kyunghyun, Chang, Gregory
פורמט: Artigo
שפה:Inglês
יצא לאור: Nature Publishing Group UK 2018
נושאים:
גישה מקוונת:https://ncbi.nlm.nih.gov/pmc/articles/PMC6220200/
https://ncbi.nlm.nih.gov/pubmed/30405145
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1038/s41598-018-34817-6
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