Fusion of Deep Convolutional Neural Networks for No-Reference Magnetic Resonance Image Quality Assessment

The quality of magnetic resonance images may influence the diagnosis and subsequent treatment. Therefore, in this paper, a novel no-reference (NR) magnetic resonance image quality assessment (MRIQA) method is proposed. In the approach, deep convolutional neural network architectures are fused and jo...

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Detalles Bibliográficos
Autores principales: Stępień, Igor, Obuchowicz, Rafał, Piórkowski, Adam, Oszust, Mariusz
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2021
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7913522/
https://www.ncbi.nlm.nih.gov/pubmed/33546412
http://dx.doi.org/10.3390/s21041043

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7913522/
https://www.ncbi.nlm.nih.gov/pubmed/33546412
http://dx.doi.org/10.3390/s21041043

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