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Visualization of Histopathological Decision Making Using a Roadbook Metaphor

机译:使用Roadbook隐喻可视化组织病理学决策

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Since pathology is supported by information technology new opportunities and questions have arisen. The digital age enables analyzing histopathological data with artificial intelligence methods to reveal further information and correlations. In this paper existing approaches to visualization of medical decision processes are presented as well as the relevance of explainability in decision making. The first step for implementing decision-paths in systems is to retrace an experienced pathologist’s diagnosis finding process. Recording a route through a landscape composed of human tissue in terms of a roadbook is one possible approach to collect information on how diagnoses are found. Choosing the roadbook metaphor provides a simple schema, that holds basic directions enriched with metadata regarding landmarks on a rally - in the context of pathology such landmarks provide information on the decision finding process.
机译:由于病理学受到信息技术的支持,因此出现了新的机会和问题。数字时代使人们能够使用人工智能方法分析组织病理学数据,以揭示更多信息和相关性。在本文中,介绍了现有的医学决策过程可视化方法以及决策中可解释性的相关性。在系统中实施决策路径的第一步是追溯经验丰富的病理学家的诊断查找过程。根据路线图记录由人体组织组成的地形的路线是一种收集有关如何发现诊断信息的可能方法。选择路线图隐喻提供了一个简单的方案,该方案拥有丰富的基本方向,其中包含关于集会上的地标的元数据-在病理学的背景下,此类地标可提供有关决策过程的信息。

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