Explainable brain age prediction: a comparative evaluation of morphometric and deep learning pipelines

Explainable brain age prediction: a comparative evaluation of morphometric and deep learning pipelines

Abstract Brain age, a biomarker reflecting brain health relative to chronological age, is increasingly used in neuroimaging to detect early signs of neurodegenerative diseases and support personalized treatment plans. Two primary approaches for brain age prediction have emerged: morphometric feature...

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Detaylı Bibliyografya
Asıl Yazarlar: Maria Luigia Natalia De Bonis, Giuseppe Fasano, Angela Lombardi, Carmelo Ardito, Antonio Ferrara, Eugenio Di Sciascio, Tommaso Di Noia
Materyal Türü: Makale
Dil:English
Baskı/Yayın Bilgisi: SpringerOpen 2024-12-01
Seri Bilgileri:Brain Informatics
Konular:
EXplainable Artificial Intelligence
Brain age prediction
Morphometry
Convolutional neural networks
Online Erişim:https://doi.org/10.1186/s40708-024-00244-9

Internet

https://doi.org/10.1186/s40708-024-00244-9

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