Optimized TSA ResNet Architecture with TSH—Discriminatory Features for Kidney Stone Classification from QUS Images
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Publisher
Springer Nature Switzerland
Link
https://link.springer.com/content/pdf/10.1007/978-3-031-38281-9_10
Reference35 articles.
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2. Kumar, K., & Abhishek, B. (2012). Artificial neural networks for diagnosis of kidney stones disease (Vol. 10). GRIN Verlag.
3. Serrat, J., Lumbreras, F., Blanco, F., Valiente, M., & López-Mesas, M. (2017). myStone: A system for automatic kidney stone classification. Expert Systems with Applications, 89, 41–51.
4. Howles, S. A., & Thakker, R. V. (2020). Genetics of kidney stone disease. Nature Reviews Urology, 17(7), 407–421.
5. Schaeffer, A. J., Feng, Z., Trock, B. J., Mathews, R. I., Neu, A. M., Gearhart, J. P., & Matlaga, B. R. (2011). Medical comorbidities associated with pediatric kidney stone disease. Urology, 77(1), 195–199.
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