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SEU<sup>2</sup>-Net: multi-scale U<sup>2</sup>-Net with SE attention mechanism for liver occupying lesion CT image segmentation
SEU2-Net: multi-scale U2-Net with SE attention mechanism for liver occupying lesion CT image segmentation
Summary
SEU2-Net: multi-scale U2-Net with SE attention mechanism for liver occupying lesion CT image segmentation is a scholarly article[1].
Key Facts
SEU2-Net: multi-scale U2-Net with SE attention mechanism for liver occupying lesion CT image segmentation's instance of is recorded as scholarly article[2].
References
Programmatic citations — every numbered marker resolves to a verifiable graph row below.
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). SEU<sup>2</sup>-Net: multi-scale U<sup>2</sup>-Net with SE attention mechanism for liver occupying lesion CT image segmentation. Retrieved May 24, 2026, from https://4ort.xyz/entity/seu-sup-2-sup-net-multi-scale-u-sup-2-sup-net-with-se-attention-mechanism-for-liver-occupying-lesion-ct-image-segmentati
MLA“SEU<sup>2</sup>-Net: multi-scale U<sup>2</sup>-Net with SE attention mechanism for liver occupying lesion CT image segmentation.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/seu-sup-2-sup-net-multi-scale-u-sup-2-sup-net-with-se-attention-mechanism-for-liver-occupying-lesion-ct-image-segmentati.
BibTeX@misc{4ortxyz_seu-sup-2-sup-net-multi-scale-u-sup-2-sup-net-with-se-attention-mechanism-for-liver-occupying-lesion-ct-image-segmentati_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{SEU<sup>2</sup>-Net: multi-scale U<sup>2</sup>-Net with SE attention mechanism for liver occupying lesion CT image segmentation}}, year = {2026}, url = {https://4ort.xyz/entity/seu-sup-2-sup-net-multi-scale-u-sup-2-sup-net-with-se-attention-mechanism-for-liver-occupying-lesion-ct-image-segmentati}, note = {Accessed: 2026-05-24}}
LLM promptAccording to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): SEU<sup>2</sup>-Net: multi-scale U<sup>2</sup>-Net with SE attention mechanism for liver occupying lesion CT image segmentation — https://4ort.xyz/entity/seu-sup-2-sup-net-multi-scale-u-sup-2-sup-net-with-se-attention-mechanism-for-liver-occupying-lesion-ct-image-segmentati (retrieved 2026-05-24)
