Effect of Denoising and Deblurring <sup>18</sup>F-Fluorodeoxyglucose Positron Emission Tomography Images on a Deep Learning Model's Classification Performance for Alzheimer's Disease.

Lee, Min-Hee; Yun, Chang-Soo; Kim, Kyuseok; Lee, Youngjin

Effect of Denoising and Deblurring ¹⁸F-Fluorodeoxyglucose Positron Emission Tomography Images on a Deep Learning Model's Classification Performance for Alzheimer's Disease.

Lee, Min-Hee; Yun, Chang-Soo; Kim, Kyuseok; Lee, Youngjin.

Afiliação

Lee MH; Institute of Human Genomic Study, College of Medicine, Korea University Ansan Hospital, 123 Jeokgeum-ro, Danwon-gu, Ansan 15355, Korea.
Yun CS; Department of Radiation Convergence Engineering, College of Software and Digital Healthcare Convergence, Yonsei University, 1, Yeonsedae-gil, Heungeop-myeon, Wonju 26493, Korea.
Kim K; Department of Integrative Medicine, Major in Digital Healthcare, Yonsei University College of Medicine, Unju-ro, Gangman-gu, Seoul 06229, Korea.
Lee Y; Department of Radiological Science, College of Health Science, Gachon University, 191, Hambakmoero, Yeonsu-gu, Incheon 21936, Korea.

Metabolites ; 12(3)2022 Mar 07.

Article em En | MEDLINE | ID: mdl-35323674

Palavras-chave

18F-FDG PET; Alzheimer's disease; deep convolutional neural network

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Texto completo: 1 Base de dados: MEDLINE Tipo de estudo: Prognostic_studies Idioma: En Ano de publicação: 2022 Tipo de documento: Article

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Texto completo: 1 Base de dados: MEDLINE Tipo de estudo: Prognostic_studies Idioma: En Ano de publicação: 2022 Tipo de documento: Article