SCFMUNet: A fusion architecture based on multi-scale state space model and channel attention for medical image segmentation

Research article (Neural Networks, 2025) · cited 10× · AI/ML
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SCFMUNet: A fusion architecture based on multi-scale state space model and channel attention for medical image segmentation

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SCFMUNet: A fusion architecture based on multi-scale state space model and channel attention for medical image segmentation is a scholarly article[1].

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APA 4ort.xyz Knowledge Graph. (2026). SCFMUNet: A fusion architecture based on multi-scale state space model and channel attention for medical image segmentation. Retrieved May 24, 2026, from https://4ort.xyz/entity/scfmunet-a-fusion-architecture-based-on-multi-scale-state-space-model-and-channel-attention-for-medical-image-segmentati
MLA “SCFMUNet: A fusion architecture based on multi-scale state space model and channel attention for medical image segmentation.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/scfmunet-a-fusion-architecture-based-on-multi-scale-state-space-model-and-channel-attention-for-medical-image-segmentati.
BibTeX @misc{4ortxyz_scfmunet-a-fusion-architecture-based-on-multi-scale-state-space-model-and-channel-attention-for-medical-image-segmentati_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{SCFMUNet: A fusion architecture based on multi-scale state space model and channel attention for medical image segmentation}}, year = {2026}, url = {https://4ort.xyz/entity/scfmunet-a-fusion-architecture-based-on-multi-scale-state-space-model-and-channel-attention-for-medical-image-segmentati}, note = {Accessed: 2026-05-24}}
LLM prompt According to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): SCFMUNet: A fusion architecture based on multi-scale state space model and channel attention for medical image segmentation — https://4ort.xyz/entity/scfmunet-a-fusion-architecture-based-on-multi-scale-state-space-model-and-channel-attention-for-medical-image-segmentati (retrieved 2026-05-24)

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