[自由软件对医学影像的贡献]。

Revue medicale de Liege Pub Date : 2024-05-01
Sébastien Jodogne
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引用次数: 0

摘要

医学研究使用的数据越来越庞大、复杂和相互依存,对这些数据的分析需要使用专门的算法。为了独立复制和验证一项科学研究的结果,按照开放数据的方法将文章文本与原始研究数据一起作为开放存取文件共享已不再足够。现在还需要与其他研究团队共享用于分析数据的算法。免费开源软件恰恰满足了大规模传播技术知识的需求。在本文中,我们将介绍几个在医学领域使用免费软件的例子,尤其侧重于医学影像。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
[Contribution of free software to medical imaging].

Medical research uses increasingly massive, complex and interdependent data, the analysis of which requires the use of specialized algorithms. In order to independently reproduce and validate the results of a scientific study, it is no longer sufficient to share the text of the article as an open-access document, together with the raw research data according to the open-data approach. It is now also needed to share the algorithms used to analyze the data with other research teams. Free and open-source software precisely responds to this need to disseminate technical knowledge at a large scale. In this paper, we present several examples of free software used in medicine, with a particular focus on medical imaging.

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