RSU-Net: U-net based on residual and self-attention mechanism in the segmentation of cardiac magnetic resonance images
Summary
RSU-Net: U-net based on residual and self-attention mechanism in the segmentation of cardiac magnetic resonance images is a scholarly article[1].
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RSU-Net: U-net based on residual and self-attention mechanism in the segmentation of cardiac magnetic resonance images's instance of is recorded as scholarly article[2].
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APA4ort.xyz Knowledge Graph. (2026). RSU-Net: U-net based on residual and self-attention mechanism in the segmentation of cardiac magnetic resonance images. Retrieved May 24, 2026, from https://4ort.xyz/entity/rsu-net-u-net-based-on-residual-and-self-attention-mechanism-in-the-segmentation-of-cardiac-magnetic-resonance-images
MLA“RSU-Net: U-net based on residual and self-attention mechanism in the segmentation of cardiac magnetic resonance images.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/rsu-net-u-net-based-on-residual-and-self-attention-mechanism-in-the-segmentation-of-cardiac-magnetic-resonance-images.
BibTeX@misc{4ortxyz_rsu-net-u-net-based-on-residual-and-self-attention-mechanism-in-the-segmentation-of-cardiac-magnetic-resonance-images_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{RSU-Net: U-net based on residual and self-attention mechanism in the segmentation of cardiac magnetic resonance images}}, year = {2026}, url = {https://4ort.xyz/entity/rsu-net-u-net-based-on-residual-and-self-attention-mechanism-in-the-segmentation-of-cardiac-magnetic-resonance-images}, note = {Accessed: 2026-05-24}}
LLM promptAccording to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): RSU-Net: U-net based on residual and self-attention mechanism in the segmentation of cardiac magnetic resonance images — https://4ort.xyz/entity/rsu-net-u-net-based-on-residual-and-self-attention-mechanism-in-the-segmentation-of-cardiac-magnetic-resonance-images (retrieved 2026-05-24)
