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Research and Application of Key Technologies for Medical Image Intelligence Knowledge Discovery and Data Processing

机译:医学图像智能知识发现与数据处理关键技术的研究与应用

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摘要

Hospitals have accumulated a large amount of medical image data which need to be analyzed and integrated so as to be able to find the needed medical image in time, which is the basis of key technologies such as intelligent diagnosis of diseases. Meanwhile, through the analysis and integrated processing of medical images, the potential value of existing medical image data can be fully explored. In this paper, the key technologies in the intelligent image knowledge discovery system and the characteristics of medical image data are studied and improved.In this paper, the characteristics of knowledge discovery and medical image data are comprehensively considered, and RDM texture features are selected as the feature representation of medical images. An improved RDM operator is proposed and proved by experimental results. Experimental results show that the improved RDM coding method can improve the stability of medical image data expression.
机译:医院累积了大量的医学图像数据,需要分析和集成,以便能够在时间内找到所需的医学图像,这是诸如智能诊断疾病的关键技术的基础。同时,通过分析和综合医学图像处理,可以充分探索现有医学图像数据的潜在价值。在本文中,研究和改进了智能图像知识发现系统的关键技术和医学图像数据的特性。在本文中,全面考虑了知识发现和医学图像数据的特征,并选择了RDM纹理特征医学图像的特征表示。通过实验结果提出并证明了一种改进的RDM操作员。实验结果表明,改进的RDM编码方法可以提高医学图像数据表达的稳定性。

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