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.
FAIR quantitative imaging in oncology: How Semantic Web and Ontologies will support reproducible science / Traverso, A., Shi, Z., Wee, L., Dekker, A.. - 2849:(2019), pp. 122-126. (12th International Conference on Semantic Web Applications and Tools for Health Care and Life Sciences, SWAT4HCLS 2019 gbr 2019).
FAIR quantitative imaging in oncology: How Semantic Web and Ontologies will support reproducible science
Traverso A.Primo
;
2019-01-01
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.I documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.
