Uretery Stone Detection with CT Scan Image Contrast Analysis
Author:
Publisher
Springer Nature Singapore
Link
https://link.springer.com/content/pdf/10.1007/978-981-99-0248-4_12
Reference29 articles.
1. Alnazer I et al (2021) Recent advances in medical image processing for the evaluation of chronic kidney disease. https://doi.org/10.1016/j.media.2021.101960
2. Baygin M et al (2022) Exemplar Darknet19 feature generation technique for automated kidney stone detection with coronal CT images. Artif Intell Med 127. https://doi.org/10.1016/j.artmed.2022.102274
3. Black KM et al (2020) Deep learning computer vision algorithm for detecting kidney stone composition. BJU Int 125(6):920–924. https://doi.org/10.1111/bju.15035
4. Brisbane W et al (2016) An overview of kidney stone imaging techniques. Nat Rev Urol 13(11):654–662. https://doi.org/10.1038/nrurol.2016.154
5. Chewcharat A, Curhan G (2021) Trends in the prevalence of kidney stones in the United States from 2007 to 2016. Urolithiasis 49(1):27–39. https://doi.org/10.1007/s00240-020-01210-w
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