A Novel Deep Learning Radiomics Model to Discriminate AD, MCI and NC: An Exploratory Study Based on Tau PET Scans from ADNI †

Objective: We explored a novel model based on deep learning radiomics (DLR) to differentiate Alzheimer’s disease (AD) patients, mild cognitive impairment (MCI) patients and normal control (NC) subjects. This model was validated in an exploratory study using tau positron emission tomography (tau-PET)...

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Detalles Bibliográficos
Autores principales: Zhao, Yan, Zhang, Jieming, Chen, Yue, Jiang, Jiehui
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2022
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9406185/
https://www.ncbi.nlm.nih.gov/pubmed/36009130
http://dx.doi.org/10.3390/brainsci12081067

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9406185/
https://www.ncbi.nlm.nih.gov/pubmed/36009130
http://dx.doi.org/10.3390/brainsci12081067

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