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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...
Autores principales: | Wachinger, Christian, Wolf, Tom Nuno, Pölsterl, Sebastian |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Elsevier
2023
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Materias: | |
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 |
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