文章基本信息

标题：Urine and Copro Recognition with Generalized Entropy and Neural Networks
作者：Diana Calva ; Miguel Angel Z??iga Garc?a ; Carlos Duchanoy Mart?nez 等
期刊名称：International Journal of Computer Science and Network Security
印刷版ISSN：1738-7906
出版年度：2009
卷号：9
期号：4
页码：173-179
出版社：International Journal of Computer Science and Network Security
摘要：We present the results for the study and classification of urine sediments and coproparasitoscopic specimens using neural networks. This method has the additional advantage of taking into account the internal geometry of certain structures and to classify them according to certain parameters such as fractal dimension and entropies. In this case we use Renyi and Tsallis entropies with order q. These results are introduced as information for a hierarchical neuronal network, and allows increasing the precision of the urine sediment and parasite microscopic determination.
关键词：Neural Networks; Urianalysis; Fecal Material Analysis; Automated Microscopy; pattern recognition; generalized entropy