Application of deep learning neural network in predicting bone mineral density from plain X-ray radiography-Reference-Cited by-同舟云学术

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Application of deep learning neural network in predicting bone mineral density from plain X-ray radiography

Published:2021-10-09 Issue:1 Volume:16 Page:
ISSN:1862-3522
Container-title:Archives of Osteoporosis
language:en
Short-container-title:Arch Osteoporos

Author:

Ho Chan-Shien,Chen Yueh-Peng,Fan Tzuo-Yau,Kuo Chang-Fu,Yen Tzu-Yun,Liu Yuan-Chang,Pei Yu-Cheng

Publisher

Springer Science and Business Media LLC

Subject

Orthopedics and Sports Medicine

Link

https://link.springer.com/content/pdf/10.1007/s11657-021-00985-8.pdf

Reference45 articles.

1. Consensus A (1993) Consensus development conference: diagnosis, prophylaxis, and treatment of osteoporosis. Am J Med 94(6):646–650

2. Solomon C, Black D, Rosen C (2016) Postmenopausal osteoporosis. N Engl J Med 374(3):254–262

3. Shao C-J, Hsieh Y-H, Tsai C-H, Lai K-A (2009) A nationwide seven-year trend of hip fractures in the elderly population of Taiwan. Bone 44(1):125–129

4. Choksi P, Jepsen KJ, Clines GA (2018) The challenges of diagnosing osteoporosis and the limitations of currently available tools. Clinical Diabetes and Endocrinology 4(1):12. https://doi.org/10.1186/s40842-018-0062-7

5. Keyak JH, Skinner HB, Fleming JA (2001) Effect of force direction on femoral fracture load for two types of loading conditions. J Orthop Res 19(4):539–544

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