Development and validation of an interpretable deep learning framework for Alzheimer’s disease classification

Alzheimer’s disease is the primary cause of dementia worldwide, with an increasing morbidity burden that may outstrip diagnosis and management capacity as the population ages. Current methods integrate patient history, neuropsychological testing and MRI to identify likely cases, yet effective practi...

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Detalles Bibliográficos
Autores principales: Qiu, Shangran, Joshi, Prajakta S, Miller, Matthew I, Xue, Chonghua, Zhou, Xiao, Karjadi, Cody, Chang, Gary H, Joshi, Anant S, Dwyer, Brigid, Zhu, Shuhan, Kaku, Michelle, Zhou, Yan, Alderazi, Yazan J, Swaminathan, Arun, Kedar, Sachin, Saint-Hilaire, Marie-Helene, Auerbach, Sanford H, Yuan, Jing, Sartor, E Alton, Au, Rhoda, Kolachalama, Vijaya B
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Oxford University Press 2020
Materias:
Original Articles
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7296847/
https://www.ncbi.nlm.nih.gov/pubmed/32357201
http://dx.doi.org/10.1093/brain/awaa137

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7296847/
https://www.ncbi.nlm.nih.gov/pubmed/32357201
http://dx.doi.org/10.1093/brain/awaa137

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