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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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| Udgivet i: | Sensors (Basel) |
|---|---|
| Main Authors: | , , , |
| Format: | Artigo |
| Sprog: | Inglês |
| Udgivet: |
MDPI
2021
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| Fag: | |
| Online adgang: | https://ncbi.nlm.nih.gov/pmc/articles/PMC7913522/ https://ncbi.nlm.nih.gov/pubmed/33546412 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.3390/s21041043 |
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