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Research on content-based medical image retrieval algorithm

机译：基于内容的医学图像检索算法研究

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With the rapid development of science and technology and the improving medical service, medical image's role in clinical diagnosis and treatment becomes increasingly prominent. It has become a high-profile task to help the doctors pick out desired targets from massive medical images. Currently, techniques of text-based medical image retrieval have failed to meet the need of massive medical image retrieval. On the other hand, techniques of content-based medical image retrieval are already established and hold vast research potential. Starting with the introduction of matured techniques of medical image retrieval, the paper expounds on the evaluation criteria of the effectiveness of such techniques, then on the modified text-and-content-based medical image retrieval algorithm. The last part is the verification of the research conclusion with contrast experiments illustrated by the sample figures.
机译：随着科学技术的飞速发展和医疗服务水平的提高，医学影像在临床诊治中的作用日益突出。帮助医生从大量医学图像中挑选出期望的目标已经成为一项备受瞩目的任务。当前，基于文本的医学图像检索技术不能满足大规模医学图像检索的需求。另一方面，基于内容的医学图像检索技术已经建立并且具有广阔的研究潜力。首先从介绍成熟的医学图像检索技术入手，阐述了该技术有效性的评价标准，然后介绍了基于文本和内容的改进医学图像检索算法。最后一部分是通过样本图所示的对比实验对研究结论的验证。

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