An accurate classification method based on multi-focus videos and deep learning for urinary red blood cell
Author:
Affiliation:
1. College of Data Science, Taiyuan University of Technology, Taiyuan, Shanxi, China
2. Department of Nephrology, Shanxi Provincial People's Hospital, Taiyuan, Shanxi, China
Publisher
ACM
Link
https://dl.acm.org/doi/pdf/10.1145/3433996.3434485
Reference18 articles.
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3. Exploiting aggregate channel features for urine sediment detection
4. Four-class urine microscopic recognition system through image processing using artificial neural network;Fernandez E. O;Journal of Telecommunication. Electronic and Computer Engineering (JTEC).,2018
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2. An Accurate Urine Red Blood Cell Detection Method Based on Multi-Focus Video Fusion and Deep Learning with Application to Diabetic Nephropathy Diagnosis;Electronics;2022-12-14
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