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MSU-Net: Multi-scale Sensitive U-Net based on pixel-edge-region level collaborative loss for nasopharyngeal MRI segmentation
Research article (Computers in Biology and Medicine, 2023) · cited 18× · AI/ML
MSU-Net: Multi-scale Sensitive U-Net based on pixel-edge-region level collaborative loss for nasopharyngeal MRI segmentation
Summary
MSU-Net: Multi-scale Sensitive U-Net based on pixel-edge-region level collaborative loss for nasopharyngeal MRI segmentation is a scholarly article[1].
Key Facts
MSU-Net: Multi-scale Sensitive U-Net based on pixel-edge-region level collaborative loss for nasopharyngeal MRI 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). MSU-Net: Multi-scale Sensitive U-Net based on pixel-edge-region level collaborative loss for nasopharyngeal MRI segmentation. Retrieved May 24, 2026, from https://4ort.xyz/entity/msu-net-multi-scale-sensitive-u-net-based-on-pixel-edge-region-level-collaborative-loss-for-nasopharyngeal-mri-segmentat
MLA“MSU-Net: Multi-scale Sensitive U-Net based on pixel-edge-region level collaborative loss for nasopharyngeal MRI segmentation.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/msu-net-multi-scale-sensitive-u-net-based-on-pixel-edge-region-level-collaborative-loss-for-nasopharyngeal-mri-segmentat.
BibTeX@misc{4ortxyz_msu-net-multi-scale-sensitive-u-net-based-on-pixel-edge-region-level-collaborative-loss-for-nasopharyngeal-mri-segmentat_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{MSU-Net: Multi-scale Sensitive U-Net based on pixel-edge-region level collaborative loss for nasopharyngeal MRI segmentation}}, year = {2026}, url = {https://4ort.xyz/entity/msu-net-multi-scale-sensitive-u-net-based-on-pixel-edge-region-level-collaborative-loss-for-nasopharyngeal-mri-segmentat}, note = {Accessed: 2026-05-24}}
LLM promptAccording to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): MSU-Net: Multi-scale Sensitive U-Net based on pixel-edge-region level collaborative loss for nasopharyngeal MRI segmentation — https://4ort.xyz/entity/msu-net-multi-scale-sensitive-u-net-based-on-pixel-edge-region-level-collaborative-loss-for-nasopharyngeal-mri-segmentat (retrieved 2026-05-24)
