Deep residual inception encoder‐decoder network for amyloid PET harmonization

INTRODUCTION: Multiple positron emission tomography (PET) tracers are available for amyloid imaging, posing a significant challenge to consensus interpretation and quantitative analysis. We accordingly developed and validated a deep learning model as a harmonization strategy. METHOD: A Residual Ince...

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Detalles Bibliográficos
Autores principales: Shah, Jay, Gao, Fei, Li, Baoxin, Ghisays, Valentina, Luo, Ji, Chen, Yinghua, Lee, Wendy, Zhou, Yuxiang, Benzinger, Tammie L.S., Reiman, Eric M., Chen, Kewei, Su, Yi, Wu, Teresa
Formato: Online Artículo Texto
Lenguaje:English
Publicado: John Wiley and Sons Inc. 2022
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Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9360199/
https://www.ncbi.nlm.nih.gov/pubmed/35142053
http://dx.doi.org/10.1002/alz.12564

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9360199/
https://www.ncbi.nlm.nih.gov/pubmed/35142053
http://dx.doi.org/10.1002/alz.12564

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