Diagnosing osteoarthritis from T2 maps using deep learning: an analysis of the entire Osteoarthritis Initiative baseline cohort

We aim to study to what extent conventional and deep-learning-based T2 relaxometry patterns are able to distinguish between knees with and without radiographic osteoarthritis (OA). T2 relaxation time maps were analyzed for 4,384 subjects from the baseline Osteoarthritis Initiative (OAI) Dataset. Vox...

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Veröffentlicht in:	Osteoarthritis and cartilage 2019-07, Vol.27 (7), p.1002-1010
Hauptverfasser:	Pedoia, V., Lee, J., Norman, B., Link, T.M., Majumdar, S.
Format:	Artikel
Sprache:	eng
Schlagworte:	Convolutional neural network Deep learning Quantitative MRI T2 relaxation times Voxel based relaxometry
Online-Zugang:	Volltext
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