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). DenseX-Net: An End-to-End Model for Lymphoma Segmentation in Whole-Body PET/CT Images. Retrieved May 24, 2026, from https://4ort.xyz/entity/densex-net-an-end-to-end-model-for-lymphoma-segmentation-in-whole-body-pet-ct-images
MLA“DenseX-Net: An End-to-End Model for Lymphoma Segmentation in Whole-Body PET/CT Images.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/densex-net-an-end-to-end-model-for-lymphoma-segmentation-in-whole-body-pet-ct-images.
BibTeX@misc{4ortxyz_densex-net-an-end-to-end-model-for-lymphoma-segmentation-in-whole-body-pet-ct-images_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{DenseX-Net: An End-to-End Model for Lymphoma Segmentation in Whole-Body PET/CT Images}}, year = {2026}, url = {https://4ort.xyz/entity/densex-net-an-end-to-end-model-for-lymphoma-segmentation-in-whole-body-pet-ct-images}, note = {Accessed: 2026-05-24}}
LLM promptAccording to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): DenseX-Net: An End-to-End Model for Lymphoma Segmentation in Whole-Body PET/CT Images — https://4ort.xyz/entity/densex-net-an-end-to-end-model-for-lymphoma-segmentation-in-whole-body-pet-ct-images (retrieved 2026-05-24)
