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4DCT image artifact detection using deep learning

Medical Physics(2024)10.1002/mp.17513Source: DataRank Database

4DCT image artifact detection using deep learning is a research paper published in Medical Physics (2024). On theSindex it has a DataRank of 0. It has been cited 5 times.

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Open Access5 citations

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datarank_citation_only_1hop_v6· scope data_onlyMethodology

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Enrichment:Funding (4 grants)OA: hybridTopics (20)IDs (PubMed)

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Authors (8)

Mattison J. Flakus ORCID,Dallin Fairbourn,Wei Shao ORCID,Sarah E. Gerard ORCID,John E. Bayouth ORCID

Live enrichment

PubMed:39540716

National Institutes of Health

Grant: T32 HL144461

National Institutes of Health

Grant: R01 CA166703

National Institutes of Health

Grant: 5T32HL144461-02

Iowa Lung Imaging Training Program

National Institutes of Health

Grant: 5R01CA166703-02

Predicting Pulmonary Function Change to Improve Radiation Planning and Outcome

hybridLicense: cc-by

publisherhttps://onlinelibrary.wiley.com/doi/pdfdirect/10.1002/mp.17513

publisherhttps://aapm.onlinelibrary.wiley.com/doi/pdf/10.1002/mp.17513

repositoryhttps://pmc.ncbi.nlm.nih.gov/articles/PMC11788241/pdf/MP-52-1096.pdf

https://doi.org/10.1002/mp.17513

https://pubmed.ncbi.nlm.nih.gov/39540716

Fields of Study

03 medical and health sciences0302 clinical medicineDeep LearningArtifactsHumansFour-Dimensional Computed TomographyImage Processing, Computer-Assisted

MeSH Terms

Deep LearningArtifactsHumansFour-Dimensional Computed TomographyImage Processing, Computer-Assisted

Keywords

Deep LearningQUANTITATIVE IMAGING AND IMAGE PROCESSINGImage Processing, Computer-AssistedHumansFour-Dimensional Computed TomographyArtifacts4DCTmotion artifacts