Image classification is usually accomplished using primitive features such as colour, shape
and texture as feature vectors. Such vector model based classification has one large defect …

医学图像分类是当前医学图像自动诊断和模式识别领域的一个新的研究热点,
其任务是从给定的医学图像训练样本中提取能反映图像内容的特征, 并根据这些特征进行图像 …

The new interdisciplinary field of Data Mining emerged in the early 1990s as a response to
the profusion of digital data generated in numerous fields such as biology, chemistry …

摘要支持向量机(SVM) 是一种准确度高的分类器, 具有很好的容错和归纳能力;
粗糙集理论方法在处理大数据量, 消除冗余信息等方面具有优势. 将两者相结合提出一种改进的 …

Automated clinical image data collection tools and apparatus are becoming increasingly
important to the medical industry, and imaging databases are growing at an unprecedented …

In some medical applications where a tissue of interest covers a large fraction of the image
or a prior knowledge on the region of interest is available, extracting features by fixed blocs …

Problem-solving processes in value management (VM) workshops in the construction
industry are experience-based, and the quality of these workshops depends very much on …

支持向量机(SVM) 方法是利用最优分类面(线) 将两类样本在特征空间或输入空间中无错误地
分开, 而且要使两类的分类空隙最大. 因此标准的SVM 方法需要求解二次规划问题, 计算量很大 …

随着PACS 系统在我国各医院的普及, PACS 数据库中存储了大量的医学图像信息,
如何把这些图像进行分类来提供相似病例图片, 从而为临床诊断提供辅助帮助已成为研究热点 …

Image mining is a growing research focus and is more than just an extension of data mining
to image domain but an interdisciplinary endeavor. Very few people have systematically …