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Effect of Denoising and Deblurring (18)F-Fluorodeoxyglucose Positron Emission Tomography Images on a Deep Learning Model’s Classification Performance for Alzheimer’s Disease
Alzheimer’s disease (AD) is the most common progressive neurodegenerative disease. (18)F-fluorodeoxyglucose positron emission tomography ((18)F-FDG PET) is widely used to predict AD using a deep learning model. However, the effects of noise and blurring on (18)F-FDG PET images were not considered. T...
| Autores principales: | , , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
MDPI
2022
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| Materias: | |
| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8954205/ https://www.ncbi.nlm.nih.gov/pubmed/35323674 http://dx.doi.org/10.3390/metabo12030231 |