Deep learning for the prediction of type 2 diabetes mellitus from neck-to-knee Dixon MRI in the UK biobank

RATIONALE AND OBJECTIVES: We evaluate the automatic identification of type 2 diabetes from neck-to-knee, two-point Dixon MRI scans with 3D convolutional neural networks on a large, population-based dataset. To this end, we assess the best combination of MRI contrasts and stations for diabetes predic...

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Detalles Bibliográficos
Autores principales: Wachinger, Christian, Wolf, Tom Nuno, Pölsterl, Sebastian
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Elsevier 2023
Materias:
Research Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10686850/
https://www.ncbi.nlm.nih.gov/pubmed/38034698
http://dx.doi.org/10.1016/j.heliyon.2023.e22239

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10686850/
https://www.ncbi.nlm.nih.gov/pubmed/38034698
http://dx.doi.org/10.1016/j.heliyon.2023.e22239

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