Identification of Alzheimer's disease using a convolutional neural network model based on T1-weighted magnetic resonance imaging

The classification of Alzheimer’s disease (AD) using deep learning methods has shown promising results, but successful application in clinical settings requires a combination of high accuracy, short processing time, and generalizability to various populations. In this study, we developed a convoluti...

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Detalles Bibliográficos
Autores principales: Bae, Jong Bin, Lee, Subin, Jung, Wonmo, Park, Sejin, Kim, Weonjin, Oh, Hyunwoo, Han, Ji Won, Kim, Grace Eun, Kim, Jun Sung, Kim, Jae Hyoung, Kim, Ki Woong
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2020
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7746752/
https://www.ncbi.nlm.nih.gov/pubmed/33335244
http://dx.doi.org/10.1038/s41598-020-79243-9

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7746752/
https://www.ncbi.nlm.nih.gov/pubmed/33335244
http://dx.doi.org/10.1038/s41598-020-79243-9

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