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SAR-U-Net: Squeeze-and-excitation block and atrous spatial pyramid pooling based residual U-Net for automatic liver segmentation in Computed Tomography
Research article (Computer Methods and Programs in Biomedicine, 2021) · cited 162× · AI/ML
SAR-U-Net: Squeeze-and-excitation block and atrous spatial pyramid pooling based residual U-Net for automatic liver segmentation in Computed Tomography
Summary
SAR-U-Net: Squeeze-and-excitation block and atrous spatial pyramid pooling based residual U-Net for automatic liver segmentation in Computed Tomography is a scholarly article[1].
Key Facts
SAR-U-Net: Squeeze-and-excitation block and atrous spatial pyramid pooling based residual U-Net for automatic liver segmentation in Computed Tomography'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). SAR-U-Net: Squeeze-and-excitation block and atrous spatial pyramid pooling based residual U-Net for automatic liver segmentation in Computed Tomography. Retrieved May 24, 2026, from https://4ort.xyz/entity/sar-u-net-squeeze-and-excitation-block-and-atrous-spatial-pyramid-pooling-based-residual-u-net-for-automatic-liver-segme
MLA“SAR-U-Net: Squeeze-and-excitation block and atrous spatial pyramid pooling based residual U-Net for automatic liver segmentation in Computed Tomography.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/sar-u-net-squeeze-and-excitation-block-and-atrous-spatial-pyramid-pooling-based-residual-u-net-for-automatic-liver-segme.
BibTeX@misc{4ortxyz_sar-u-net-squeeze-and-excitation-block-and-atrous-spatial-pyramid-pooling-based-residual-u-net-for-automatic-liver-segme_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{SAR-U-Net: Squeeze-and-excitation block and atrous spatial pyramid pooling based residual U-Net for automatic liver segmentation in Computed Tomography}}, year = {2026}, url = {https://4ort.xyz/entity/sar-u-net-squeeze-and-excitation-block-and-atrous-spatial-pyramid-pooling-based-residual-u-net-for-automatic-liver-segme}, note = {Accessed: 2026-05-24}}
LLM promptAccording to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): SAR-U-Net: Squeeze-and-excitation block and atrous spatial pyramid pooling based residual U-Net for automatic liver segmentation in Computed Tomography — https://4ort.xyz/entity/sar-u-net-squeeze-and-excitation-block-and-atrous-spatial-pyramid-pooling-based-residual-u-net-for-automatic-liver-segme (retrieved 2026-05-24)
