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M <sup>3</sup> ResU-Net: a deep residual network for multi-center colorectal polyp segmentation based on multi-scale learning and attention mechanism
Research article (Physics in Medicine and Biology, 2022) · cited 12× · AI/ML
M 3 ResU-Net: a deep residual network for multi-center colorectal polyp segmentation based on multi-scale learning and attention mechanism
Summary
M 3 ResU-Net: a deep residual network for multi-center colorectal polyp segmentation based on multi-scale learning and attention mechanism is a scholarly article[1].
Key Facts
M 3 ResU-Net: a deep residual network for multi-center colorectal polyp segmentation based on multi-scale learning and attention mechanism's instance of is recorded as scholarly article[2].
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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). M <sup>3</sup> ResU-Net: a deep residual network for multi-center colorectal polyp segmentation based on multi-scale learning and attention mechanism. Retrieved May 24, 2026, from https://4ort.xyz/entity/m-sup-3-sup-resu-net-a-deep-residual-network-for-multi-center-colorectal-polyp-segmentation-based-on-multi-scale-learnin
MLA“M <sup>3</sup> ResU-Net: a deep residual network for multi-center colorectal polyp segmentation based on multi-scale learning and attention mechanism.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/m-sup-3-sup-resu-net-a-deep-residual-network-for-multi-center-colorectal-polyp-segmentation-based-on-multi-scale-learnin.
BibTeX@misc{4ortxyz_m-sup-3-sup-resu-net-a-deep-residual-network-for-multi-center-colorectal-polyp-segmentation-based-on-multi-scale-learnin_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{M <sup>3</sup> ResU-Net: a deep residual network for multi-center colorectal polyp segmentation based on multi-scale learning and attention mechanism}}, year = {2026}, url = {https://4ort.xyz/entity/m-sup-3-sup-resu-net-a-deep-residual-network-for-multi-center-colorectal-polyp-segmentation-based-on-multi-scale-learnin}, note = {Accessed: 2026-05-24}}
LLM promptAccording to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): M <sup>3</sup> ResU-Net: a deep residual network for multi-center colorectal polyp segmentation based on multi-scale learning and attention mechanism — https://4ort.xyz/entity/m-sup-3-sup-resu-net-a-deep-residual-network-for-multi-center-colorectal-polyp-segmentation-based-on-multi-scale-learnin (retrieved 2026-05-24)
