These tools will no longer be maintained as of December 31, 2024. Archived website can be found here. PubMed4Hh GitHub repository can be found here. Contact NLM Customer Service if you have questions.


Pubmed for Handhelds

PUBMED FOR HANDHELDS

Search MEDLINE/PubMed

  • Title: [The study of SVM-based recognition of particles in urine sediment].
    Author: Fu C, Xia SR, Zhang ZC.
    Journal: Zhongguo Yi Liao Qi Xie Za Zhi; 2008 Nov; 32(6):409-12. PubMed ID: 19253571.
    Abstract:
    This article used support vector machine (SVM) algorithm to recognize the particles in urine sediment in this paper. After feature extraction, cross-validation method and the contour chart of the accuracy were implemented to select the kernel function and the parameters of SVM, and according to the characteristics of SVM classifier and sample data, Multi-SVMs with two-level-classifier was successfully designed and A classification matrix was eventually obtained. The evaluation by using clinical data and comparative results with the artificial neural network have demonstrated that the proposed algorithm gets better results.
    [Abstract] [Full Text] [Related] [New Search]