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Brain tumor magnetic resonance image segmentation by a multiscale contextual attention module combined with a deep residual UNet (MCA-ResUNet)
Research article (Physics in Medicine and Biology, 2022) · cited 22× · AI/ML
Brain tumor magnetic resonance image segmentation by a multiscale contextual attention module combined with a deep residual UNet (MCA-ResUNet)
Summary
Brain tumor magnetic resonance image segmentation by a multiscale contextual attention module combined with a deep residual UNet (MCA-ResUNet) is a scholarly article[1].
Key Facts
Brain tumor magnetic resonance image segmentation by a multiscale contextual attention module combined with a deep residual UNet (MCA-ResUNet)'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). Brain tumor magnetic resonance image segmentation by a multiscale contextual attention module combined with a deep residual UNet (MCA-ResUNet). Retrieved May 24, 2026, from https://4ort.xyz/entity/brain-tumor-magnetic-resonance-image-segmentation-by-a-multiscale-contextual-attention-module-combined-with-a-deep-resid
MLA“Brain tumor magnetic resonance image segmentation by a multiscale contextual attention module combined with a deep residual UNet (MCA-ResUNet).” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/brain-tumor-magnetic-resonance-image-segmentation-by-a-multiscale-contextual-attention-module-combined-with-a-deep-resid.
BibTeX@misc{4ortxyz_brain-tumor-magnetic-resonance-image-segmentation-by-a-multiscale-contextual-attention-module-combined-with-a-deep-resid_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Brain tumor magnetic resonance image segmentation by a multiscale contextual attention module combined with a deep residual UNet (MCA-ResUNet)}}, year = {2026}, url = {https://4ort.xyz/entity/brain-tumor-magnetic-resonance-image-segmentation-by-a-multiscale-contextual-attention-module-combined-with-a-deep-resid}, note = {Accessed: 2026-05-24}}
LLM promptAccording to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): Brain tumor magnetic resonance image segmentation by a multiscale contextual attention module combined with a deep residual UNet (MCA-ResUNet) — https://4ort.xyz/entity/brain-tumor-magnetic-resonance-image-segmentation-by-a-multiscale-contextual-attention-module-combined-with-a-deep-resid (retrieved 2026-05-24)
