Cargando…
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...
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: | |
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 |
Ejemplares similares
-
Enhancing magnetic resonance imaging-driven Alzheimer’s disease classification performance using generative adversarial learning
por: Zhou, Xiao, et al.
Publicado: (2021) -
Detection of dementia on voice recordings using deep learning: a Framingham Heart Study
por: Xue, Chonghua, et al.
Publicado: (2021) -
Fusion of Low-Level Descriptors of Digital Voice Recordings for Dementia Assessment
por: Karjadi, Cody, et al.
Publicado: (2023) -
Multimodal deep learning for Alzheimer’s disease dementia assessment
por: Qiu, Shangran, et al.
Publicado: (2022) -
Fusion of deep learning models of MRI scans, Mini–Mental State Examination, and logical memory test enhances diagnosis of mild cognitive impairment
por: Qiu, Shangran, et al.
Publicado: (2018)