Cargando…
Prediction of conversion to Alzheimer’s disease using deep survival analysis of MRI images
The prediction of the conversion of healthy individuals and those with mild cognitive impairment to the status of active Alzheimer’s disease is a challenging task. Recently, a survival analysis based upon deep learning was developed to enable predictions regarding the timing of an event in a dataset...
Autores principales: | Nakagawa, Tomonori, Ishida, Manabu, Naito, Junpei, Nagai, Atsushi, Yamaguchi, Shuhei, Onoda, Keiichi |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Oxford University Press
2020
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7425528/ https://www.ncbi.nlm.nih.gov/pubmed/32954307 http://dx.doi.org/10.1093/braincomms/fcaa057 |
Ejemplares similares
-
A Prospective Study of Asymptomatic Intracranial Atherosclerotic Stenosis in Neurologically Normal Volunteers in a Japanese Cohort
por: Matsui, Ryukichi, et al.
Publicado: (2016) -
Enhanced Feedback-Related Negativity in Alzheimer’s Disease
por: Nitta, Eri, et al.
Publicado: (2017) -
Reduced Dynamic Complexity of BOLD Signals Differentiates Mild Cognitive Impairment From Normal Aging
por: Zheng, Haixia, et al.
Publicado: (2020) -
Metabolic syndrome is associated with incidence of deep cerebral microbleeds
por: Mitaki, Shingo, et al.
Publicado: (2018) -
Apathy and Executive Function in Healthy Elderly—Resting State fMRI Study
por: Kawagoe, Toshikazu, et al.
Publicado: (2017)