A constructive non-local means algorithm for low-dose computed tomography denoising with morphological residual processing

Research article (PLoS ONE, 2023) · cited 13× · AI/ML
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A constructive non-local means algorithm for low-dose computed tomography denoising with morphological residual processing

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A constructive non-local means algorithm for low-dose computed tomography denoising with morphological residual processing is a scholarly article[1].

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APA 4ort.xyz Knowledge Graph. (2026). A constructive non-local means algorithm for low-dose computed tomography denoising with morphological residual processing. Retrieved May 24, 2026, from https://4ort.xyz/entity/a-constructive-non-local-means-algorithm-for-low-dose-computed-tomography-denoising-with-morphological-residual-processi
MLA “A constructive non-local means algorithm for low-dose computed tomography denoising with morphological residual processing.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/a-constructive-non-local-means-algorithm-for-low-dose-computed-tomography-denoising-with-morphological-residual-processi.
BibTeX @misc{4ortxyz_a-constructive-non-local-means-algorithm-for-low-dose-computed-tomography-denoising-with-morphological-residual-processi_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{A constructive non-local means algorithm for low-dose computed tomography denoising with morphological residual processing}}, year = {2026}, url = {https://4ort.xyz/entity/a-constructive-non-local-means-algorithm-for-low-dose-computed-tomography-denoising-with-morphological-residual-processi}, note = {Accessed: 2026-05-24}}
LLM prompt According to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): A constructive non-local means algorithm for low-dose computed tomography denoising with morphological residual processing — https://4ort.xyz/entity/a-constructive-non-local-means-algorithm-for-low-dose-computed-tomography-denoising-with-morphological-residual-processi (retrieved 2026-05-24)

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