Semi-Supervised Diffusion Model for Brain Age Prediction

Semi-Supervised Diffusion Model for Brain Age Prediction

Brain age prediction models have succeeded in predicting clinical outcomes in neurodegenerative diseases, but can struggle with tasks involving faster progressing diseases and low quality data. To enhance their performance, we employ a semi-supervised diffusion model, obtaining a 0.83(p

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Bibliographische Detailangaben
Veröffentlicht in:arXiv.org 2024-02
Hauptverfasser: Ijishakin, Ayodeji, Martin, Sophie, Townend, Florence, Agosta, Federica, Spinelli, Edoardo Gioele, Basaia, Silvia, Schito, Paride, Falzone, Yuri, Filippi, Massimo, Cole, James, Malaspina, Andrea
Format: Artikel
Sprache:eng
Schlagworte:
Brain
Image quality
Prediction models
Predictions
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Zusammenfassung:Brain age prediction models have succeeded in predicting clinical outcomes in neurodegenerative diseases, but can struggle with tasks involving faster progressing diseases and low quality data. To enhance their performance, we employ a semi-supervised diffusion model, obtaining a 0.83(p
ISSN:2331-8422