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). DCAU-Net: dense convolutional attention U-Net for segmentation of intracranial aneurysm images. Retrieved May 24, 2026, from https://4ort.xyz/entity/dcau-net-dense-convolutional-attention-u-net-for-segmentation-of-intracranial-aneurysm-images
MLA“DCAU-Net: dense convolutional attention U-Net for segmentation of intracranial aneurysm images.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/dcau-net-dense-convolutional-attention-u-net-for-segmentation-of-intracranial-aneurysm-images.
BibTeX@misc{4ortxyz_dcau-net-dense-convolutional-attention-u-net-for-segmentation-of-intracranial-aneurysm-images_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{DCAU-Net: dense convolutional attention U-Net for segmentation of intracranial aneurysm images}}, year = {2026}, url = {https://4ort.xyz/entity/dcau-net-dense-convolutional-attention-u-net-for-segmentation-of-intracranial-aneurysm-images}, note = {Accessed: 2026-05-24}}
LLM promptAccording to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): DCAU-Net: dense convolutional attention U-Net for segmentation of intracranial aneurysm images — https://4ort.xyz/entity/dcau-net-dense-convolutional-attention-u-net-for-segmentation-of-intracranial-aneurysm-images (retrieved 2026-05-24)