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AD-DUNet: A dual-branch encoder approach by combining axial Transformer with cascaded dilated convolutions for liver and hepatic tumor segmentation
Research article (Biomedical Signal Processing and Control, 2024) · cited 16× · AI/ML
AD-DUNet: A dual-branch encoder approach by combining axial Transformer with cascaded dilated convolutions for liver and hepatic tumor segmentation
Summary
AD-DUNet: A dual-branch encoder approach by combining axial Transformer with cascaded dilated convolutions for liver and hepatic tumor segmentation is a scholarly article[1].
Key Facts
AD-DUNet: A dual-branch encoder approach by combining axial Transformer with cascaded dilated convolutions for liver and hepatic tumor segmentation'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). AD-DUNet: A dual-branch encoder approach by combining axial Transformer with cascaded dilated convolutions for liver and hepatic tumor segmentation. Retrieved May 24, 2026, from https://4ort.xyz/entity/ad-dunet-a-dual-branch-encoder-approach-by-combining-axial-transformer-with-cascaded-dilated-convolutions-for-liver-and-
MLA“AD-DUNet: A dual-branch encoder approach by combining axial Transformer with cascaded dilated convolutions for liver and hepatic tumor segmentation.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/ad-dunet-a-dual-branch-encoder-approach-by-combining-axial-transformer-with-cascaded-dilated-convolutions-for-liver-and-.
BibTeX@misc{4ortxyz_ad-dunet-a-dual-branch-encoder-approach-by-combining-axial-transformer-with-cascaded-dilated-convolutions-for-liver-and-_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{AD-DUNet: A dual-branch encoder approach by combining axial Transformer with cascaded dilated convolutions for liver and hepatic tumor segmentation}}, year = {2026}, url = {https://4ort.xyz/entity/ad-dunet-a-dual-branch-encoder-approach-by-combining-axial-transformer-with-cascaded-dilated-convolutions-for-liver-and-}, note = {Accessed: 2026-05-24}}
LLM promptAccording to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): AD-DUNet: A dual-branch encoder approach by combining axial Transformer with cascaded dilated convolutions for liver and hepatic tumor segmentation — https://4ort.xyz/entity/ad-dunet-a-dual-branch-encoder-approach-by-combining-axial-transformer-with-cascaded-dilated-convolutions-for-liver-and- (retrieved 2026-05-24)
