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  • 标题:SEARCH FOR CYTOLOGY PATTERNS USING THE GENETIC ISLAND MODEL
  • 本地全文:下载
  • 作者:JESÚS ALVAREZ-CEDILLO ; ISRAEL RIVERA-ZARATE ; JUAN C. HERRERA-LOZADA
  • 期刊名称:Journal of Theoretical and Applied Information Technology
  • 印刷版ISSN:1992-8645
  • 电子版ISSN:1817-3195
  • 出版年度:2011
  • 卷号:33
  • 期号:1
  • 页码:69-75
  • 出版社:Journal of Theoretical and Applied
  • 摘要:Island model deals with a species which is subdivided into a number of discrete finite populations, races or subspecies, between which some migration process occurs. If the number of populations is small, an assumption of equal rates of migration between each pair of populations may be reasonable approximation. In this paper we shown a general solution is given for the process of population divergence under this model following subdivision of a single parental population, expressed in terms of the observed average frequency of cells and explains how to find a zone in an image that is representative and small enough to optimize the later analysis of the image in general whether manual or automatic. This diagnostic method will analyze the behavior of a group of special cells (could be Cancer)
  • 关键词:Cytology Patterns; Genetic Island Model; Population Divergence; Diagnostic Method
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