Multi-scale random walk driven adaptive graph neural network with dual-head neighboring node attention for CT segmentation

Research article (Applied Soft Computing, 2022) · cited 18× · AI/ML
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Multi-scale random walk driven adaptive graph neural network with dual-head neighboring node attention for CT segmentation

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Multi-scale random walk driven adaptive graph neural network with dual-head neighboring node attention for CT segmentation is a scholarly article[1].

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APA 4ort.xyz Knowledge Graph. (2026). Multi-scale random walk driven adaptive graph neural network with dual-head neighboring node attention for CT segmentation. Retrieved May 24, 2026, from https://4ort.xyz/entity/multi-scale-random-walk-driven-adaptive-graph-neural-network-with-dual-head-neighboring-node-attention-for-ct-segmentati
MLA “Multi-scale random walk driven adaptive graph neural network with dual-head neighboring node attention for CT segmentation.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/multi-scale-random-walk-driven-adaptive-graph-neural-network-with-dual-head-neighboring-node-attention-for-ct-segmentati.
BibTeX @misc{4ortxyz_multi-scale-random-walk-driven-adaptive-graph-neural-network-with-dual-head-neighboring-node-attention-for-ct-segmentati_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Multi-scale random walk driven adaptive graph neural network with dual-head neighboring node attention for CT segmentation}}, year = {2026}, url = {https://4ort.xyz/entity/multi-scale-random-walk-driven-adaptive-graph-neural-network-with-dual-head-neighboring-node-attention-for-ct-segmentati}, note = {Accessed: 2026-05-24}}
LLM prompt According to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): Multi-scale random walk driven adaptive graph neural network with dual-head neighboring node attention for CT segmentation — https://4ort.xyz/entity/multi-scale-random-walk-driven-adaptive-graph-neural-network-with-dual-head-neighboring-node-attention-for-ct-segmentati (retrieved 2026-05-24)

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