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Document Tagging Method for Low-resolution Medical Documents in Hospital Information Systems

机译:医院信息系统中低分辨率医学文档的文档标注方法

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Recently, a lot of paper-based documents used in hospitals have been computerized because of diffusion of Hospital Information Systems (HIS). However, some of previously scanned documents do not have enough resolution for document image processing, e.g. OCR Engine, due to storage limitation of the system. Currently, such documents are still archived in HIS, but not used effectively now. These should be converted to electrical data for resemble case search. This paper discusses document image processing methods to search low-resolution medical documents. As the first step of this study, we propose a tagging method for low-resolution document images archived in HIS. This paper shows the detail of the proposed method and experimental results to discusses the effectiveness of the proposed method. We also show problems and future works of this study in the end of paper.
机译:最近,由于医院信息系统(HIS)的普及,医院中使用的许多纸质文档已经计算机化。但是,某些先前扫描的文档没有足够的分辨率进行文档图像处理,例如: OCR引擎,由于系统的存储限制。目前,此类文档仍保存在HIS中,但现在尚未有效使用。这些应转换为电气数据,以进行类似案例搜索。本文讨论了用于搜索低分辨率医学文档的文档图像处理方法。作为这项研究的第一步,我们为在HIS中存档的低分辨率文档图像提出了一种标记方法。本文介绍了该方法的详细信息和实验结果,以讨论该方法的有效性。在论文的最后,我们还将展示本研究的问题和未来的工作。

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