FAIR quantitative imaging in oncology: How Semantic Web and Ontologies will support reproducible science

A. Traverso, Z. Shi, L. Wee, A. Dekker

Research output: Chapter in Book/Report/Conference proceedingConference article in proceedingAcademicpeer-review

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Abstract

The automated extraction of quantitative imaging biomarkers from patient's scans, could augment physician decision making in radiation oncology. Unfortunately, lack of reproducibility and robust methodology current limits this promising field to be applied in the clinic. In this paper, we state how the combination of quantitative medical imaging with Semantic Web and Ontologies techniques could speed up the role of quantitative imaging.
Original languageEnglish
Title of host publicationSemantic Web Applications and Tools for Health Care and Life Sciences
Pages122-126
Number of pages5
Volume2849
Publication statusPublished - 1 Jan 2019
Event12th International Conference on Semantic Web Applications and Tools for Health Care and Life Sciences - Edinburgh, United Kingdom
Duration: 10 Dec 201911 Dec 2019
Conference number: 12

Publication series

SeriesCEUR Workshop Proceedings
ISSN1613-0073

Conference

Conference12th International Conference on Semantic Web Applications and Tools for Health Care and Life Sciences
Abbreviated titleSWAT4HCLS 2019
Country/TerritoryUnited Kingdom
CityEdinburgh
Period10/12/1911/12/19

Keywords

  • Ontologies
  • Quantitative imaging
  • Radiation oncology
  • Semantic web

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