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Use of a Sparse-Response Deep Belief Network and Extreme Learning Machine to Discriminate Alzheimer's Disease, Mild Cognitive Impairment, and Normal Controls Based on Amyloid PET/MRI Images
In recent years, interest has grown in using computer-aided diagnosis (CAD) for Alzheimer's disease (AD) and its prodromal stage, mild cognitive impairment (MCI). However, existing CAD technologies often overfit data and have poor generalizability. In this study, we proposed a sparse-response d...
Autores principales: | Zhou, Ping, Jiang, Shuqing, Yu, Lun, Feng, Yabo, Chen, Chuxin, Li, Fang, Liu, Yang, Huang, Zhongxiong |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Frontiers Media S.A.
2021
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7847932/ https://www.ncbi.nlm.nih.gov/pubmed/33537334 http://dx.doi.org/10.3389/fmed.2020.621204 |
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