Contrastive Self-supervised Learning for Neurodegenerative Disorder Classification
Vadym Gryshchuk,
Devesh Singh,
Stefan Teipel
et al.
Abstract: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 (SSL) offers an alternative for training machine learning models without data-labels. We investig… Show more
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