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). dResU-Net: 3D deep residual U-Net based brain tumor segmentation from multimodal MRI. Retrieved May 24, 2026, from https://4ort.xyz/entity/dresu-net-3d-deep-residual-u-net-based-brain-tumor-segmentation-from-multimodal-mri
MLA“dResU-Net: 3D deep residual U-Net based brain tumor segmentation from multimodal MRI.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/dresu-net-3d-deep-residual-u-net-based-brain-tumor-segmentation-from-multimodal-mri.
BibTeX@misc{4ortxyz_dresu-net-3d-deep-residual-u-net-based-brain-tumor-segmentation-from-multimodal-mri_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{dResU-Net: 3D deep residual U-Net based brain tumor segmentation from multimodal MRI}}, year = {2026}, url = {https://4ort.xyz/entity/dresu-net-3d-deep-residual-u-net-based-brain-tumor-segmentation-from-multimodal-mri}, note = {Accessed: 2026-05-24}}
LLM promptAccording to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): dResU-Net: 3D deep residual U-Net based brain tumor segmentation from multimodal MRI — https://4ort.xyz/entity/dresu-net-3d-deep-residual-u-net-based-brain-tumor-segmentation-from-multimodal-mri (retrieved 2026-05-24)