Cargando…
Centered Kernel Alignment Enhancing Neural Network Pretraining for MRI-Based Dementia Diagnosis
Dementia is a growing problem that affects elderly people worldwide. More accurate evaluation of dementia diagnosis can help during the medical examination. Several methods for computer-aided dementia diagnosis have been proposed using resonance imaging scans to discriminate between patients with Al...
Autores principales: | Cárdenas-Peña, David, Collazos-Huertas, Diego, Castellanos-Dominguez, German |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Hindawi Publishing Corporation
2016
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4842359/ https://www.ncbi.nlm.nih.gov/pubmed/27148392 http://dx.doi.org/10.1155/2016/9523849 |
Ejemplares similares
-
Enhanced Data Representation by Kernel Metric Learning for Dementia Diagnosis
por: Cárdenas-Peña, David, et al.
Publicado: (2017) -
Posthoc Interpretability of Neural Responses by Grouping Subject Motor Imagery Skills Using CNN-Based Connectivity
por: Collazos-Huertas, Diego Fabian, et al.
Publicado: (2023) -
Deep and Wide Transfer Learning with Kernel Matching for Pooling Data from Electroencephalography and Psychological Questionnaires
por: Collazos-Huertas, Diego Fabian, et al.
Publicado: (2021) -
To pretrain or not? A systematic analysis of the benefits of pretraining in diabetic retinopathy
por: Srinivasan, Vignesh, et al.
Publicado: (2022) -
Cough event classification by pretrained deep neural network
por: Liu, Jia-Ming, et al.
Publicado: (2015)