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Local linearity analysis of deep learning CT denoising algorithms

7th International Conference on Image Formation in X-Ray Computed Tomography(2022)10.1117/12.2646371Source: DataRank Database

Local linearity analysis of deep learning CT denoising algorithms is a research paper published in 7th International Conference on Image Formation in X-Ray Computed Tomography (2022). On theSindex it has a DataRank of 0. It has been cited 6 times.

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Open Access6 citations

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datarank_citation_only_1hop_v6· scope data_onlyMethodology

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Enrichment:Funding (1 grants)OA: bronzeTopics (22)IDs (PubMed, PMC, OpenAlex)

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Authors (8)

Wenying Wang ORCID,Matthew Tivnan ORCID,Jeremias Sulam ORCID,Jerry L. Prince ORCID,Michael F. McNitt‐Gray ORCID

Live enrichment

PubMed:36320561 PMC:PMC9621688 OpenAlex:https://openalex.org/W4306659370

NCI NIH HHS

Grant: R01 CA249538

bronze

conferencehttps://www.spiedigitallibrary.org/conference-proceedings-of-spie/12304/123040T/Local-linearity-analysis-of-deep-learning-CT-denoising-algorithms/10.1117/12.2646371.pdf

publisherhttps://www.spiedigitallibrary.org/conference-proceedings-of-spie/12304/123040T/Local-linearity-analysis-of-deep-learning-CT-denoising-algorithms/10.1117/12.2646371.pdf

conferencehttps://doi.org/10.1117/12.2646371

repositoryhttps://pubmed.ncbi.nlm.nih.gov/36320561

https://escholarship.org/uc/item/8tb4v3z6

Fields of Study

Medical Imaging Techniques and ApplicationsAdvanced X-ray and CT ImagingImage and Signal Denoising Methods

Keywords

Piecewise linear functionContrast (vision)LinearitySingular value decompositionArtificial neural networkAlgorithmLinear modelLinear systemArtificial intelligenceComputer scienceNonlinear systemPattern recognition (psychology)Noise (video)Linear regressionMathematicsMathematical analysisPhysicsImage (mathematics)Machine learning