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Intelligent retrieval and classification in three-dimensional biomedical images - A systematic mapping

机译:三维生物医学图像中的智能检索和分类-系统映射

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摘要

The massive generation of data has raised new research topics, such as methods to store and to retrieve large volumes of information. Some medical image modalities, such as Magnetic Resonance Imaging, generate hundreds images series and many research groups have presented studies to develop intelligent techniques to classify and to retrieve this information. However, these studies are dispersed in several databases, and cataloged by using different terms. In this paper we present an analysis of these studies, through a Systematic Mapping that identifies methods and techniques currently being used in this scenario. In addition, we provide a perspective about the type of scientific literature the researchers have been disclosed their studies as well as impact on the scientific literature in dissemination of this knowledge domain. Some challenges and research opportunities are also highlighted in order to propitiate advances in the area.
机译:大量的数据引发了新的研究主题,例如存储和检索大量信息的方法。一些医学图像模式,例如磁共振成像,生成了数百幅图像,许多研究小组已经提出了研究,以开发智能技术来对信息进行分类和检索。但是,这些研究分散在几个数据库中,并使用不同的术语进行分类。在本文中,我们通过系统映射介绍了对这些研究的分析,该系统映射确定了当前在这种情况下使用的方法和技术。此外,我们提供了有关研究人员已公开其研究成果的科学文献类型以及在传播此知识领域方面对科学文献的影响的观点。还强调了一些挑战和研究机会,以促进该领域的发展。

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  • 来源
    《Computer science review》 |2019年第2期|19-38|共20页
  • 作者单位

    Escola Politecnica da Universidade de Sao Paulo, Professor Luciano Gualberto Avenue - 3, Sao Paulo - SP, 05508-010, Brazil;

    Escola Politecnica da Universidade de Sao Paulo, Professor Luciano Gualberto Avenue - 3, Sao Paulo - SP, 05508-010, Brazil,School of Arts, Sciences and Humanities, Universidade de Sao Paulo, Arlindo Bettio Avenue - 1000, Sao Paulo - SP, 03828-000, Brazil;

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  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类
  • 关键词

    CBIR; Classification; Descriptors; Information retrieval; Medical images;

    机译:CBIR;分类;描述符;信息检索;医学影像;

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