Cargando…
The impact of transfer learning on 3D deep learning convolutional neural network segmentation of the hippocampus in mild cognitive impairment and Alzheimer disease subjects
Research on segmentation of the hippocampus in magnetic resonance images through deep learning convolutional neural networks (CNNs) shows promising results, suggesting that these methods can identify small structural abnormalities of the hippocampus, which are among the earliest and most frequent br...
Autores principales: | Balboni, Erica, Nocetti, Luca, Carbone, Chiara, Dinsdale, Nicola, Genovese, Maurilio, Guidi, Gabriele, Malagoli, Marcella, Chiari, Annalisa, Namburete, Ana I. L., Jenkinson, Mark, Zamboni, Giovanna |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
John Wiley & Sons, Inc.
2022
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9248306/ https://www.ncbi.nlm.nih.gov/pubmed/35373881 http://dx.doi.org/10.1002/hbm.25858 |
Ejemplares similares
-
Selenium Species in Cerebrospinal Fluid and Hippocampal Volume among Individuals with Mild Cognitive Impairment
por: Vinceti, Marco, et al.
Publicado: (2022) -
Deep learning-based unlearning of dataset bias for MRI harmonisation and confound removal
por: Dinsdale, Nicola K., et al.
Publicado: (2021) -
A selenium species in cerebrospinal fluid predicts conversion to Alzheimer’s dementia in persons with mild cognitive impairment
por: Vinceti, Marco, et al.
Publicado: (2017) -
Comparison of domain adaptation techniques for white matter hyperintensity segmentation in brain MR images
por: Sundaresan, Vaanathi, et al.
Publicado: (2021) -
Eliciting Implicit Awareness in Alzheimer’s Disease and Mild Cognitive Impairment: A Task-Based Functional MRI Study
por: Tondelli, Manuela, et al.
Publicado: (2022)