GCFormer: Multi-scale feature plays a crucial role in medical images segmentation

Research article (Knowledge-Based Systems, 2024) · cited 27× · AI/ML
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GCFormer: Multi-scale feature plays a crucial role in medical images segmentation

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GCFormer: Multi-scale feature plays a crucial role in medical images segmentation is a scholarly article[1].

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  • GCFormer: Multi-scale feature plays a crucial role in medical images segmentation's instance of is recorded as scholarly article[2].

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APA 4ort.xyz Knowledge Graph. (2026). GCFormer: Multi-scale feature plays a crucial role in medical images segmentation. Retrieved May 24, 2026, from https://4ort.xyz/entity/gcformer-multi-scale-feature-plays-a-crucial-role-in-medical-images-segmentation
MLA “GCFormer: Multi-scale feature plays a crucial role in medical images segmentation.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/gcformer-multi-scale-feature-plays-a-crucial-role-in-medical-images-segmentation.
BibTeX @misc{4ortxyz_gcformer-multi-scale-feature-plays-a-crucial-role-in-medical-images-segmentation_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{GCFormer: Multi-scale feature plays a crucial role in medical images segmentation}}, year = {2026}, url = {https://4ort.xyz/entity/gcformer-multi-scale-feature-plays-a-crucial-role-in-medical-images-segmentation}, note = {Accessed: 2026-05-24}}
LLM prompt According to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): GCFormer: Multi-scale feature plays a crucial role in medical images segmentation — https://4ort.xyz/entity/gcformer-multi-scale-feature-plays-a-crucial-role-in-medical-images-segmentation (retrieved 2026-05-24)

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