LinkedDicom: Indexing DICOM Metadata Using Semantic Web Technologies.
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| Title: | LinkedDicom: Indexing DICOM Metadata Using Semantic Web Technologies. |
|---|---|
| Authors: | van Soest J; Brightlands Institute for Smart Society (BISS), Faculty of Science and Engineering, Maastricht University, The Netherlands.; Department of Radiation Oncology (Maastro), GROW Research Institute for Oncology and Reproduction, Maastricht University Medical Centre+, Maastricht, The Netherlands.; Medical Data Works B.V., Maastricht, The Netherlands., Choudhury A; Department of Radiation Oncology (Maastro), GROW Research Institute for Oncology and Reproduction, Maastricht University Medical Centre+, Maastricht, The Netherlands., Romita A; Medical Data Works B.V., Maastricht, The Netherlands., Hendriks T; Medical Data Works B.V., Maastricht, The Netherlands., Wee L; Department of Radiation Oncology (Maastro), GROW Research Institute for Oncology and Reproduction, Maastricht University Medical Centre+, Maastricht, The Netherlands., Dekker A; Brightlands Institute for Smart Society (BISS), Faculty of Science and Engineering, Maastricht University, The Netherlands.; Department of Radiation Oncology (Maastro), GROW Research Institute for Oncology and Reproduction, Maastricht University Medical Centre+, Maastricht, The Netherlands.; Medical Data Works B.V., Maastricht, The Netherlands., Gouthamchand V; Department of Radiation Oncology (Maastro), GROW Research Institute for Oncology and Reproduction, Maastricht University Medical Centre+, Maastricht, The Netherlands. |
| Source: | Studies in health technology and informatics [Stud Health Technol Inform] 2026 May 21; Vol. 336, pp. 1277-1281. |
| Publication Type: | Journal Article |
| Journal Info: | Publisher: IOS Press Country of Publication: Netherlands NLM ID: 9214582 Publication Model: Print Cited Medium: Internet ISSN: 1879-8365 (Electronic) Linking ISSN: 09269630 NLM ISO Abbreviation: Stud Health Technol Inform Subsets: MEDLINE |
| Database: | MEDLINE Ultimate |
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