Incorporation of residual attention modules into two neural networks for low‐dose CT denoising

Research article (Medical Physics, 2021) · cited 39× · AI/ML
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Incorporation of residual attention modules into two neural networks for low‐dose CT denoising

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Incorporation of residual attention modules into two neural networks for low‐dose CT denoising is a scholarly article[1].

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APA 4ort.xyz Knowledge Graph. (2026). Incorporation of residual attention modules into two neural networks for low‐dose CT denoising. Retrieved May 24, 2026, from https://4ort.xyz/entity/incorporation-of-residual-attention-modules-into-two-neural-networks-for-lowdose-ct-denoising
MLA “Incorporation of residual attention modules into two neural networks for low‐dose CT denoising.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/incorporation-of-residual-attention-modules-into-two-neural-networks-for-lowdose-ct-denoising.
BibTeX @misc{4ortxyz_incorporation-of-residual-attention-modules-into-two-neural-networks-for-lowdose-ct-denoising_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Incorporation of residual attention modules into two neural networks for low‐dose CT denoising}}, year = {2026}, url = {https://4ort.xyz/entity/incorporation-of-residual-attention-modules-into-two-neural-networks-for-lowdose-ct-denoising}, note = {Accessed: 2026-05-24}}
LLM prompt According to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): Incorporation of residual attention modules into two neural networks for low‐dose CT denoising — https://4ort.xyz/entity/incorporation-of-residual-attention-modules-into-two-neural-networks-for-lowdose-ct-denoising (retrieved 2026-05-24)

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