Liver hydatid CT image segmentation based on localizing region active contours and modified parametric active contours

著录项

• 来源
  《International Conference on BioMedical Engineering and Informatics》|2014年||共5页
• 会议地点
• 作者

  Jian-Jun Chen; Kutluk Abdugheni; Yan-Ting Hu; Hamit Murat;

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• 作者单位

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• 会议组织
• 原文格式 PDF
• 正文语种
• 中图分类 生物医学工程;
• 关键词

  biological tissues; computerised tomography; diseases; image segmentation; liver; medical image processing; statistical analysis; biological tissues; farm areas; hydatid lesion segmentation; intensity distribution characteristics; liver hydatid CT image; liver hydatid CT image segmentation; liver hydatid disease; localizing region active contours; modified parametric active contours; parasitic disease; pastoral areas; statistical smoothness; Active contours; Biomedical imaging; Computed tomography; Diseases; Image segmentation; Lesions; Liver; Liver hydatid disease; active contours; image segmentation; modified parameter; seed regions;

  机译：生物组织;计算机断层扫描;疾病;肝脏;肝脏;统计分析;生物组织;农场;纳米湿度;强度分布特征;肝纳米湿CT图像分割;肝包虫病;本地化 区域活性轮廓;寄生虫病;牧虫地区;统计光滑度;活性轮廓;生物医学成像;计算断层扫描;疾病;疾病;肝脏;肝脏;活性轮廓;图像分割;修饰参数;种子;种子 地区;