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Comparison of deep learning-based denoising methods in cardiac SPECT
BACKGROUND: Myocardial perfusion SPECT (MPS) images often suffer from artefacts caused by low-count statistics. Poor-quality images can lead to misinterpretations of perfusion defects. Deep learning (DL)-based methods have been proposed to overcome the noise artefacts. The aim of this study was to i...
| Autores principales: | , , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
Springer International Publishing
2023
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| Materias: | |
| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9908801/ https://www.ncbi.nlm.nih.gov/pubmed/36752847 http://dx.doi.org/10.1186/s40658-023-00531-0 |