Cargando…
Deep Learning for Brain MRI Confirms Patterned Pathological Progression in Alzheimer's Disease
Deep learning (DL) on brain magnetic resonance imaging (MRI) data has shown excellent performance in differentiating individuals with Alzheimer's disease (AD). However, the value of DL in detecting progressive structural MRI (sMRI) abnormalities linked to AD pathology has yet to be established....
Autores principales: | Pan, Dan, Zeng, An, Yang, Baoyao, Lai, Gangyong, Hu, Bing, Song, Xiaowei, Jiang, Tianzi |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
John Wiley and Sons Inc.
2022
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9951348/ https://www.ncbi.nlm.nih.gov/pubmed/36575159 http://dx.doi.org/10.1002/advs.202204717 |
Ejemplares similares
-
Deep Learning Model for Prediction of Progressive Mild Cognitive Impairment to Alzheimer’s Disease Using Structural MRI
por: Lim, Bing Yan, et al.
Publicado: (2022) -
Identification and validation of Alzheimer’s disease-related metabolic brain pattern in biomarker confirmed Alzheimer’s dementia patients
por: Perovnik, Matej, et al.
Publicado: (2022) -
Disrupted Small-World Brain Networks in Moderate Alzheimer's Disease: A Resting-State fMRI Study
por: Zhao, Xiaohu, et al.
Publicado: (2012) -
MRI-derived PRECISE scores for predicting pathologically-confirmed radiological progression in prostate cancer patients on active surveillance
por: Caglic, Iztok, et al.
Publicado: (2020) -
Plasma sphingolipid changes with autopsy-confirmed Lewy body or Alzheimer's pathology
por: Savica, Rodolfo, et al.
Publicado: (2016)