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DoubleU-NetPlus: a novel attention and context-guided dual U-Net with multi-scale residual feature fusion network for semantic segmentation of medical images
Research article (Neural Computing and Applications, 2023) · cited 31× · AI/ML
DoubleU-NetPlus: a novel attention and context-guided dual U-Net with multi-scale residual feature fusion network for semantic segmentation of medical images
Summary
DoubleU-NetPlus: a novel attention and context-guided dual U-Net with multi-scale residual feature fusion network for semantic segmentation of medical images is a scholarly article[1].
Key Facts
DoubleU-NetPlus: a novel attention and context-guided dual U-Net with multi-scale residual feature fusion network for semantic segmentation of medical images's instance of is recorded as scholarly article[2].
References
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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). DoubleU-NetPlus: a novel attention and context-guided dual U-Net with multi-scale residual feature fusion network for semantic segmentation of medical images. Retrieved May 24, 2026, from https://4ort.xyz/entity/doubleu-netplus-a-novel-attention-and-context-guided-dual-u-net-with-multi-scale-residual-feature-fusion-network-for-sem
MLA“DoubleU-NetPlus: a novel attention and context-guided dual U-Net with multi-scale residual feature fusion network for semantic segmentation of medical images.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/doubleu-netplus-a-novel-attention-and-context-guided-dual-u-net-with-multi-scale-residual-feature-fusion-network-for-sem.
BibTeX@misc{4ortxyz_doubleu-netplus-a-novel-attention-and-context-guided-dual-u-net-with-multi-scale-residual-feature-fusion-network-for-sem_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{DoubleU-NetPlus: a novel attention and context-guided dual U-Net with multi-scale residual feature fusion network for semantic segmentation of medical images}}, year = {2026}, url = {https://4ort.xyz/entity/doubleu-netplus-a-novel-attention-and-context-guided-dual-u-net-with-multi-scale-residual-feature-fusion-network-for-sem}, note = {Accessed: 2026-05-24}}
LLM promptAccording to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): DoubleU-NetPlus: a novel attention and context-guided dual U-Net with multi-scale residual feature fusion network for semantic segmentation of medical images — https://4ort.xyz/entity/doubleu-netplus-a-novel-attention-and-context-guided-dual-u-net-with-multi-scale-residual-feature-fusion-network-for-sem (retrieved 2026-05-24)
