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 language | English |
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Title of host publication | Semantic Web Applications and Tools for Health Care and Life Sciences |
Pages | 122-126 |
Number of pages | 5 |
Volume | 2849 |
Publication status | Published - 1 Jan 2019 |
Event | 12th International Conference on Semantic Web Applications and Tools for Health Care and Life Sciences - Edinburgh, United Kingdom Duration: 10 Dec 2019 → 11 Dec 2019 Conference number: 12 |
Publication series
Series | CEUR Workshop Proceedings |
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ISSN | 1613-0073 |
Conference
Conference | 12th International Conference on Semantic Web Applications and Tools for Health Care and Life Sciences |
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Abbreviated title | SWAT4HCLS 2019 |
Country/Territory | United Kingdom |
City | Edinburgh |
Period | 10/12/19 → 11/12/19 |
Keywords
- Ontologies
- Quantitative imaging
- Radiation oncology
- Semantic web