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  • 标题:Feature selection for diagnosing the osteoporosis by femoral neck X-ray images
  • 本地全文:下载
  • 作者:A.V. Gaidel ; V.R. Krasheninnikov
  • 期刊名称:Computer Optics / Компьютерная оптика
  • 印刷版ISSN:0134-2452
  • 电子版ISSN:2412-6179
  • 出版年度:2016
  • 卷号:40
  • 期号:6
  • 页码:939-946
  • 语种:Russian
  • 出版社:Samarskii Natsional'nyi Issledovatel'skii Universitet imeni Akademika S.P. Koroleva,Samara National Research University
  • 摘要:We analyzed the quality of a number of features describing the texture of digital X-ray images of the bone tissue for the computer-aided diagnosis of the osteoporosis. We introduced four heuristic features, also considering thirteen adjusted quadratic features described in a previous paper. We solved a problem of selecting the smallest feature subset in order to provide the linear separability of the feature vectors from the learning sample in the corresponding feature space. During the experimental studies we found that the subset of four heuristic features fulfils the separability condition as well as the subset including three quadratic features and one heuristic feature does.
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