Skull-stripping induces shortcut learning in MRI-based Alzheimer’s disease classification

Abstract Objectives High classification accuracy of Alzheimer’s disease (AD) from structural MRI has been achieved using deep neural networks, yet the specific image features contributing to these decisions remain unclear. In this study, the contributions of T1-weighted (T1w) gray-white matter textu...

Descripció completa

Dades bibliogràfiques

Autors principals:	Christian Tinauer, Maximilian Sackl, Rudolf Stollberger, Reinhold Schmidt, Stefan Ropele, Christian Langkammer
Format:	Artigo
Idioma:	Inglês
Publicat:	SpringerOpen 2025-12-01
Col·lecció:	Insights into Imaging
Matèries:	Shortcut learning Preprocessing bias Alzheimer’s disease Explainable deep learning
Accés en línia:	https://doi.org/10.1186/s13244-025-02158-4
Etiquetes:	Afegir etiqueta Sense etiquetes, Sigues el primer a etiquetar aquest registre!