Application of a deep learning algorithm for detection and visualization of hip fractures on plain pelvic radiographs
Author:
Publisher
Springer Science and Business Media LLC
Subject
Radiology, Nuclear Medicine and imaging,General Medicine
Link
http://link.springer.com/content/pdf/10.1007/s00330-019-06167-y.pdf
Reference39 articles.
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2. Riggs BL, Melton LJ III (1995) The worldwide problem of osteoporosis: insights afforded by epidemiology. Bone 17:S505–S511. https://doi.org/10.1016/8756-3282(95)00258-4
3. Leslie WD, O’Donnell S, Jean S et al (2009) Trends in hip fracture rates in Canada. JAMA 302:883–889. https://doi.org/10.1001/jama.2009.1231
4. Bliuc D, Nguyen ND, Milch VE et al (2009) Mortality risk associated with low-trauma osteoporotic fracture and subsequent fracture in men and women. JAMA 301:513–521. https://doi.org/10.1001/jama.2009.50
5. Center JR, Nguyen TV, Schneider D et al (1999) Mortality after all major types of osteoporotic fracture in men and women: an observational study. Lancet 353:878–882. https://doi.org/10.1016/S0140-6736(98)09075-8
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