A semantic framework for the retrieval of similar radiological images based on medical annotations

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• 来源
  《IEEE International Conference on Image Processing》|2014年|2241-2245|共5页
• 会议地点
• 作者

  Kurtz C.; Depeursinge A.; Beaulieu C.F.; Rubin D.L.;

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• 关键词

  computerised tomography; database indexing; diseases; feature extraction; image retrieval; image texture; medical image processing; radiology; visual databases; wavelet transforms; CT images; Riesz texture image features; automatic approach; computed tomographic images; distance function; feature space; high-level semantic image annotations; high-level visual concepts; image disease appearance capture; image indexing; low-level features; low-level imaging features; medical annotations; radiodensity-based similarities; semantic framework; semantic gap; semantic term annotation prediction; similar radiological image retrieval; system performance; texture-based similarities; Biomedical imaging; Computed tomography; Image retrieval; Lesions; Semantics; Vectors; Visualization; Image retrieval; RadLex; Riesz wavelets; computed tomographic (CT) images; image annotation;

  机译：计算机断层扫描;数据库索引;疾病;特征提取;图像检索;图像纹理;医学图像处理;放射学;视觉数据库;小波变换; CT图像; Riesz纹理图像特征;自动处理;计算机断层扫描图像;距离函数;特征空间;高级语义图像注释;高级视觉概念;图像疾病外观捕获;图像索引;低级特征;低级成像特征;医学注释;基于放射密度的相似性;语义框架;语义间隙;语义术语注释预测相似的放射图像检索;系统性能;基于纹理的相似度;生物医学成像;计算机断层摄影;图像检索;病变;语义学;矢量;可视化;图像检索; RadLex; Riesz小波;计算机断层摄影（CT）图像;图像注释;