Article

Contrastive Self-supervised Learning for Neurodegenerative Disorder Classification

2024-07-04

Abstract excerpt

Neurodegenerative 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-labels for each sample. However, it can be difficult to obtain expert labels for a large amount of data. Self-supervised learning...

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Literature Corpus work: c2046f66-88c8-5c87-b66f-e96b2e2d294a
DOI: 10.1101/2024.07.03.24309882

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