ASIA unversity:Item 310904400/77959
English  |  正體中文  |  简体中文  |  全文笔数/总笔数 : 90570/105786 (86%)
造访人次 : 16376737      在线人数 : 345
RC Version 6.0 © Powered By DSPACE, MIT. Enhanced by NTU Library IR team.
搜寻范围 查询小技巧:
  • 您可在西文检索词汇前后加上"双引号",以获取较精准的检索结果
  • 若欲以作者姓名搜寻,建议至进阶搜寻限定作者字段,可获得较完整数据
  • 进阶搜寻


    jsp.display-item.identifier=請使用永久網址來引用或連結此文件: http://asiair.asia.edu.tw/ir/handle/310904400/77959


    题名: Blood Cell Image Classification Based on Hierarchical SVM
    作者: 胡若梅;Hu, Rouh-Mei;蕭震緯;Hsiao, Chen-Wei;陳榮銘;Chen, Rong-Ming;蔡進發;Jeffrey, J.P.Tsai
    贡献者: 生物與醫學資訊學系
    日期: 2011.12
    上传时间: 2013-12-26 17:35:34 (UTC+8)
    摘要: The problem of identifying and counting blood cells within the blood smear is of both theoretical and practical interest. The differential counting of blood cells provides invaluable information to pathologist for diagnosis and treatment of many diseases. In this paper we propose an efficient hierarchical blood cell image identification and classification method based on multi-class support vector machine. In this automated process, segmentation and classification of blood cells are the most important stages. We segment the stained blood cells in digital microscopic images and extract the geometric features for each segment to identify and classify the different types of blood cells. The experimental results are compared with the manual results obtained by the pathologist, and demonstrate the effectiveness of the proposed method.
    關聯: 2011 IEEE International Symposium on Multimedia
    显示于类别:[生物資訊與醫學工程學系 ] 會議論文

    文件中的档案:

    档案 大小格式浏览次数
    index.html0KbHTML398检视/开启


    在ASIAIR中所有的数据项都受到原著作权保护.


    DSpace Software Copyright © 2002-2004  MIT &  Hewlett-Packard  /   Enhanced by   NTU Library IR team Copyright ©   - 回馈