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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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| Published in: | Sci Rep |
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| Main Authors: | , , , , , , , |
| Format: | Artigo |
| Language: | Inglês |
| Published: |
Nature Publishing Group UK
2018
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| Subjects: | |
| Online Access: | 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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