Deep learning based diagnosis of Parkinson’s Disease using diffusion magnetic resonance imaging
The diagnostic performance of a combined architecture on Parkinson’s disease using diffusion tensor imaging was evaluated. A convolutional neural network was trained from multiple parcellated brain regions. A greedy algorithm was proposed to combine the models from individual regions into a complex...
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Veröffentlicht in: | Brain imaging and behavior 2022-08, Vol.16 (4), p.1749-1760 |
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Sprache: | eng |
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