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The study of SVM-based recognition of particles in urine sediment / 中国医疗器械杂志
Chinese Journal of Medical Instrumentation ; (6): 409-412, 2008.
Artigo em Chinês | WPRIM | ID: wpr-309564
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.
Assuntos
Texto completo: DisponíveL Índice: WPRIM (Pacífico Ocidental) Assunto principal: Tamanho da Partícula / Urina / Algoritmos / Reconhecimento Automatizado de Padrão / Inteligência Artificial / Química / Métodos Limite: Humanos Idioma: Chinês Revista: Chinese Journal of Medical Instrumentation Ano de publicação: 2008 Tipo de documento: Artigo

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Texto completo: DisponíveL Índice: WPRIM (Pacífico Ocidental) Assunto principal: Tamanho da Partícula / Urina / Algoritmos / Reconhecimento Automatizado de Padrão / Inteligência Artificial / Química / Métodos Limite: Humanos Idioma: Chinês Revista: Chinese Journal of Medical Instrumentation Ano de publicação: 2008 Tipo de documento: Artigo