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Application of an auto-edge counting method for quantification of metal artifacts in CBCT images: a multivariate analysis of object position, field of view size, tube voltage, and metal artifact reduction algorithm
Research article (Oral Surgery Oral Medicine Oral Pathology and Oral Radiology, 2021) · cited 14× · AI/ML
Application of an auto-edge counting method for quantification of metal artifacts in CBCT images: a multivariate analysis of object position, field of view size, tube voltage, and metal artifact reduction algorithm
Summary
Application of an auto-edge counting method for quantification of metal artifacts in CBCT images: a multivariate analysis of object position, field of view size, tube voltage, and metal artifact reduction algorithm is a scholarly article[1].
Key Facts
Application of an auto-edge counting method for quantification of metal artifacts in CBCT images: a multivariate analysis of object position, field of view size, tube voltage, and metal artifact reduction algorithm's instance of is recorded as scholarly article[2].
References
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APA4ort.xyz Knowledge Graph. (2026). Application of an auto-edge counting method for quantification of metal artifacts in CBCT images: a multivariate analysis of object position, field of view size, tube voltage, and metal artifact reduction algorithm. Retrieved May 24, 2026, from https://4ort.xyz/entity/application-of-an-auto-edge-counting-method-for-quantification-of-metal-artifacts-in-cbct-images-a-multivariate-analysis
MLA“Application of an auto-edge counting method for quantification of metal artifacts in CBCT images: a multivariate analysis of object position, field of view size, tube voltage, and metal artifact reduction algorithm.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/application-of-an-auto-edge-counting-method-for-quantification-of-metal-artifacts-in-cbct-images-a-multivariate-analysis.
BibTeX@misc{4ortxyz_application-of-an-auto-edge-counting-method-for-quantification-of-metal-artifacts-in-cbct-images-a-multivariate-analysis_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Application of an auto-edge counting method for quantification of metal artifacts in CBCT images: a multivariate analysis of object position, field of view size, tube voltage, and metal artifact reduction algorithm}}, year = {2026}, url = {https://4ort.xyz/entity/application-of-an-auto-edge-counting-method-for-quantification-of-metal-artifacts-in-cbct-images-a-multivariate-analysis}, note = {Accessed: 2026-05-24}}
LLM promptAccording to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): Application of an auto-edge counting method for quantification of metal artifacts in CBCT images: a multivariate analysis of object position, field of view size, tube voltage, and metal artifact reduction algorithm — https://4ort.xyz/entity/application-of-an-auto-edge-counting-method-for-quantification-of-metal-artifacts-in-cbct-images-a-multivariate-analysis (retrieved 2026-05-24)