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...

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Detalles Bibliográficos
Autores principales: Zhou, Ping, Jiang, Shuqing, Yu, Lun, Feng, Yabo, Chen, Chuxin, Li, Fang, Liu, Yang, Huang, Zhongxiong
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2021
Materias:
Medicine
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

Internet

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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