Implementation of a Classification System of Calcaneal Fracture with Deep Learning Techniques
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Publisher
Springer Nature Singapore
Link
https://link.springer.com/content/pdf/10.1007/978-981-97-4182-3_35
Reference8 articles.
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2. Holloway, K.L., et al.: Foot and ankle fracture incidence in South-Eastern Australia: an epidemiological study. Clin. Res. Foot Ankle 2(4), 148 (2014)
3. Potter, M.Q., Nunley, J.A.: Long-term functional outcomes after operative treatment for intra-articular fractures of the calcaneus. J. Bone Joint Surg. Am. 91(8), 1854–1860 (2009). https://doi.org/10.2106/JBJS.H.01475
4. De Cid Rodríguez, J.: Fracture detection from X-Rays with deep learning. Master’s thesis, Universitat Politècnica de Catalunya (2021)
5. Kitamura, G., Chung, C.Y., Moore, B.E.: Ankle fracture detection utilizing a convolutional neural network ensemble implemented with a small sample, de novo training, and multiview incorporation. J. Digit. Imaging 32, 672–677 (2019)
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