Enhancing magnetic resonance imaging-driven Alzheimer’s disease classification performance using generative adversarial learning

BACKGROUND: Generative adversarial networks (GAN) can produce images of improved quality but their ability to augment image-based classification is not fully explored. We evaluated if a modified GAN can learn from magnetic resonance imaging (MRI) scans of multiple magnetic field strengths to enhance...

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Detalles Bibliográficos
Autores principales: Zhou, Xiao, Qiu, Shangran, Joshi, Prajakta S., Xue, Chonghua, Killiany, Ronald J., Mian, Asim Z., Chin, Sang P., Au, Rhoda, Kolachalama, Vijaya B.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2021
Materias:
Research
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7958452/
https://www.ncbi.nlm.nih.gov/pubmed/33715635
http://dx.doi.org/10.1186/s13195-021-00797-5

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7958452/
https://www.ncbi.nlm.nih.gov/pubmed/33715635
http://dx.doi.org/10.1186/s13195-021-00797-5

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