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利用开源库实现医学成像工具的快速发展。

Rapid development of medical imaging tools with open-source libraries.

作者信息

Caban Jesus J, Joshi Alark, Nagy Paul

机构信息

Department of Computer Science, University of Maryland, Baltimore County, Baltimore, Maryland, USA.

出版信息

J Digit Imaging. 2007 Nov;20 Suppl 1(Suppl 1):83-93. doi: 10.1007/s10278-007-9062-3. Epub 2007 Aug 7.

DOI:10.1007/s10278-007-9062-3
PMID:17680307
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC2039808/
Abstract

Rapid prototyping is an important element in researching new imaging analysis techniques and developing custom medical applications. In the last ten years, the open source community and the number of open source libraries and freely available frameworks for biomedical research have grown significantly. What they offer are now considered standards in medical image analysis, computer-aided diagnosis, and medical visualization. A cursory review of the peer-reviewed literature in imaging informatics (indeed, in almost any information technology-dependent scientific discipline) indicates the current reliance on open source libraries to accelerate development and validation of processes and techniques. In this survey paper, we review and compare a few of the most successful open source libraries and frameworks for medical application development. Our dual intentions are to provide evidence that these approaches already constitute a vital and essential part of medical image analysis, diagnosis, and visualization and to motivate the reader to use open source libraries and software for rapid prototyping of medical applications and tools.

摘要

快速成型是研究新的成像分析技术和开发定制医疗应用的重要元素。在过去十年中，开源社区以及用于生物医学研究的开源库和免费可用框架的数量显著增长。它们所提供的内容如今被视为医学图像分析、计算机辅助诊断和医学可视化的标准。对成像信息学领域（实际上，几乎在任何依赖信息技术的科学学科中）经过同行评审的文献进行粗略回顾表明，当前依赖开源库来加速流程和技术的开发与验证。在这篇综述论文中，我们回顾并比较了一些用于医疗应用开发的最成功的开源库和框架。我们的双重目的是提供证据证明这些方法已经构成医学图像分析、诊断和可视化的重要且必不可少的部分，并激励读者使用开源库和软件进行医疗应用和工具的快速成型。

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