A conditional statistical shape model with integrated error estimation of the conditions; Application to liver segmentation in non-contrast CT images

著录项

• 来源
  《Medical image analysis》 |2014年第1期|共14页
• 作者

  TomoshigeS.; OostE.; ShimizuA.; WatanabeH.; NawanoS.;

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• 作者单位

  Tokyo University of Agriculture and Technology Nakacho 2-24-16 Koganei Tokyo 184-8588 Japan;

  Tokyo University of Agriculture and Technology Nakacho 2-24-16 Koganei Tokyo 184-8588 Japan;

  Tokyo University of Agriculture and Technology Nakacho 2-24-16 Koganei Tokyo 184-8588 Japan;

  Tokyo University of Agriculture and Technology Nakacho 2-24-16 Koganei Tokyo 184-8588 Japan;

  Center for Radiological Sciences International University of Health and Welfare Mita 1-4-3;

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• 收录信息
• 原文格式 PDF
• 正文语种 eng
• 中图分类 影像诊断学;
• 关键词

  Conditional statistical shape model; Level set; Liver segmentation; Non-contrast CT volume;

  机译：条件统计形状模型;液位;肝细分;非对比度CT卷;