CT image quality enhancement via a dual-channel neural network with jointing denoising and super-resolution

Research article (Neurocomputing, 2022) · cited 33× · AI/ML
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CT image quality enhancement via a dual-channel neural network with jointing denoising and super-resolution

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CT image quality enhancement via a dual-channel neural network with jointing denoising and super-resolution is a scholarly article[1].

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  • CT image quality enhancement via a dual-channel neural network with jointing denoising and super-resolution's instance of is recorded as scholarly article[2].

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APA 4ort.xyz Knowledge Graph. (2026). CT image quality enhancement via a dual-channel neural network with jointing denoising and super-resolution. Retrieved May 24, 2026, from https://4ort.xyz/entity/ct-image-quality-enhancement-via-a-dual-channel-neural-network-with-jointing-denoising-and-super-resolution
MLA “CT image quality enhancement via a dual-channel neural network with jointing denoising and super-resolution.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/ct-image-quality-enhancement-via-a-dual-channel-neural-network-with-jointing-denoising-and-super-resolution.
BibTeX @misc{4ortxyz_ct-image-quality-enhancement-via-a-dual-channel-neural-network-with-jointing-denoising-and-super-resolution_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{CT image quality enhancement via a dual-channel neural network with jointing denoising and super-resolution}}, year = {2026}, url = {https://4ort.xyz/entity/ct-image-quality-enhancement-via-a-dual-channel-neural-network-with-jointing-denoising-and-super-resolution}, note = {Accessed: 2026-05-24}}
LLM prompt According to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): CT image quality enhancement via a dual-channel neural network with jointing denoising and super-resolution — https://4ort.xyz/entity/ct-image-quality-enhancement-via-a-dual-channel-neural-network-with-jointing-denoising-and-super-resolution (retrieved 2026-05-24)

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