Neural Network Performance Evaluation of Simulated and Genuine Head-and-Neck Computed Tomography Images to Reduce Metal Artifacts

BACKGROUND: This study evaluated the performances of neural networks in terms of denoizing metal artifacts in computed tomography (CT) images to improve diagnosis based on the CT images of patients. METHODS: First, head-and-neck phantoms were simulated (with and without dental implants), and CT imag...

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Detalles Bibliográficos
Autores principales: Khaleghi, Goli, Hosntalab, Mohammad, Sadeghi, Mahdi, Reiazi, Reza, Mahdavi, Seied Rabi
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Wolters Kluwer - Medknow 2022
Materias:
Original Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9885504/
https://www.ncbi.nlm.nih.gov/pubmed/36726421
http://dx.doi.org/10.4103/jmss.jmss_159_21

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9885504/
https://www.ncbi.nlm.nih.gov/pubmed/36726421
http://dx.doi.org/10.4103/jmss.jmss_159_21

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