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...

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Detalles Bibliográficos
Autores principales: Lee, Min-Hee, Yun, Chang-Soo, Kim, Kyuseok, Lee, Youngjin
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2022
Materias:
Article
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

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8954205/
https://www.ncbi.nlm.nih.gov/pubmed/35323674
http://dx.doi.org/10.3390/metabo12030231

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