Deep Learning Approach for Automatic Wrist Fracture Detection Using Ultrasound Bone Probability Maps
Author:
Funder
Alberta Machine Intelligence Institute
TD Ready
Publisher
Springer Science and Business Media LLC
Subject
General Medicine
Link
https://link.springer.com/content/pdf/10.1007/s42399-023-01608-8.pdf
Reference18 articles.
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2. Cao K, Mills DM, Thiele RG, Patwardhan KA. Toward quantitative assessment of rheumatoid arthritis using volumetric ultrasound. IEEE Trans Biomed Eng. 2016;63(2):449–58.
3. Cho K, van Merrienboer B, Bahdanau D, Bengio Y. On the properties of neural machine translation: encoder-decoder approaches. arXiv preprint arXiv:1409.1259. 2014. http://arxiv.org/abs/1409.1259. Accessed 21 Nov 2023.
4. Foroughi P, Boctor E, Swartz MJ, Taylor RH, Fichtinger G. P6D-2 ultrasound bone segmentation using dynamic programming. In: 2007 IEEE Ultrasonics Symposium Proceedings, 28 Oct 2007. IEEE; 2007. pp. 2523–6.
5. Hacihaliloglu I. Enhancement of bone shadow region using local phase-based ultrasound transmission maps. Int J Comput Assist Radiol Surg. 2017;12(6):951–60.
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