A study of automatic recognition and counting system of urine-sediment visual components-Reference-Cited by-同舟云学术

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A study of automatic recognition and counting system of urine-sediment visual components

Published:2010-10 Issue: Volume: Page:
ISSN:
Container-title:2010 3rd International Conference on Biomedical Engineering and Informatics
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Author:

Zhou Xiaomou,Xiao Xingming,Ma Chi

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx5/5624551/5639433/05639648.pdf?arnumber=5639648

Cited by 10 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Deep Multi-Modal Fusion Model for Identification of Eight Different Particles in Urinary Sediment;Applied Computer Systems;2024-06-01

2. Analysis of Urine Sediment Images for Detection and Classification of Cells;Sakarya University Journal of Computer and Information Sciences;2023-04-30

3. An Efficient Particle YOLO Detector for Urine Sediment Detection;Machine Learning for Cyber Security;2023

4. Urine Sediment Recognition Method Based on Multi-View Deep Residual Learning in Microscopic Image;Journal of Medical Systems;2019-10-23

5. Study on segmentation and recognition algorithm of crystal in urinary sediment image;Eleventh International Conference on Digital Image Processing (ICDIP 2019);2019-08-14

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