Contrastive self-supervised learning for neurodegenerative disorder classification

IntroductionNeurodegenerative diseases such as Alzheimer's disease (AD) or frontotemporal lobar degeneration (FTLD) involve specific loss of brain volume, detectable in vivo using T1-weighted MRI scans. Supervised machine learning approaches classifying neurodegenerative diseases require diagnostic-...

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Detalhes bibliográficos

Principais autores:	Vadym Gryshchuk, Devesh Singh, Stefan Teipel, Martin Dyrba, the ADNI, AIBL, FTLDNI study groups
Formato:	Artigo
Idioma:	Inglês
Publicado em:	Frontiers Media S.A. 2025-02-01
coleção:	Frontiers in Neuroinformatics
Assuntos:	contrastive learning self-supervised learning neurodegenerative disorders deep learning structural magnetic resonance imaging Alzheimer's disease
Acesso em linha:	https://www.frontiersin.org/articles/10.3389/fninf.2025.1527582/full
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