Visualization of Histopathological Decision Making Using a Roadbook Metaphor
| Autor: | Heimo Müller, Marie-Christina Mayer, Birgit Pohn, Andreas Holzinger, Robert Reihs, Kurt Zatloukal |
|---|---|
| Rok vydání: | 2019 |
| Předmět: |
0303 health sciences
business.industry Metaphor Computer science media_common.quotation_subject Information technology 0102 computer and information sciences 01 natural sciences Data science Visualization Metadata 03 medical and health sciences 010201 computation theory & mathematics Schema (psychology) Medical diagnosis Decision process business 030304 developmental biology media_common |
| Zdroj: | IV (1) 2019 23rd International Conference Information Visualisation (IV) |
| DOI: | 10.1109/iv.2019.00073 |
| Popis: | 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. |
| Databáze: | OpenAIRE |
| Externí odkaz: |
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