Use these citations when quoting this entity in research, articles, AI prompts, or wherever provenance matters. We aggregate Wikidata + Wikipedia + authoritative open-data sources; the stitched, scored, cross-referenced view is what 4ort.xyz contributes.
APA4ort.xyz Knowledge Graph. (2026). A Machine Learning method for relabeling arbitrary DICOM structure sets to TG-263 defined labels. Retrieved May 24, 2026, from https://4ort.xyz/entity/a-machine-learning-method-for-relabeling-arbitrary-dicom-structure-sets-to-tg-263-defined-labels
MLA“A Machine Learning method for relabeling arbitrary DICOM structure sets to TG-263 defined labels.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/a-machine-learning-method-for-relabeling-arbitrary-dicom-structure-sets-to-tg-263-defined-labels.
BibTeX@misc{4ortxyz_a-machine-learning-method-for-relabeling-arbitrary-dicom-structure-sets-to-tg-263-defined-labels_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{A Machine Learning method for relabeling arbitrary DICOM structure sets to TG-263 defined labels}}, year = {2026}, url = {https://4ort.xyz/entity/a-machine-learning-method-for-relabeling-arbitrary-dicom-structure-sets-to-tg-263-defined-labels}, note = {Accessed: 2026-05-24}}
LLM promptAccording to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): A Machine Learning method for relabeling arbitrary DICOM structure sets to TG-263 defined labels — https://4ort.xyz/entity/a-machine-learning-method-for-relabeling-arbitrary-dicom-structure-sets-to-tg-263-defined-labels (retrieved 2026-05-24)
