Machine learning-assisted image label-free smartphone platform for rapid segmentation and robust multi-urinalysis
Author:
Funder
National Natural Science Foundation of China
Shanghai Engineering Research Centre of Interventional Medical Device
Publisher
Springer Science and Business Media LLC
Link
https://link.springer.com/content/pdf/10.1007/s00216-024-05147-6.pdf
Reference49 articles.
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3. Yamagata K, Iseki K, Nitta K, Imai H, Iino Y, Matsuo S, et al. Chronic kidney disease perspectives in Japan and the importance of urinalysis screening. Clin Exp Nephrol. 2008;12(1):1–8.
4. Hwang C, Lee WJ, Kim SD, Park S, Kim JH. Recent advances in biosensor technologies for point-of-care urinalysis. Biosens-Basel. 2022;12(11):1020.
5. Sritong N, de Medeiros MS, Basing LA, Linnes JC. Promise and perils of paper-based point-of-care nucleic acid detection for endemic and pandemic pathogens. Lab Chip. 2023;23(5):888–912.
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