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A machine learning-based classification approach on Parkinson's disease diffusion tensor imaging datasets
Jannik Prasuhn
,
Marcus Heldmann
,
Thomas F Münte
,
Norbert Brüggemann
Institute of Neurogenetics
Clinic of Neurology
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Dive into the research topics of 'A machine learning-based classification approach on Parkinson's disease diffusion tensor imaging datasets'. Together they form a unique fingerprint.
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Computer Science
classification approach
100%
Diffusion Tensor
100%
Disease Patient
60%
Learning System
100%
Machine Learning
100%
Machine Learning Algorithm
20%
Parkinson's Disease
100%
Prodromal Phase
20%
Neuroscience
Diffusion Tensor Imaging
100%
Machine Learning Algorithm
20%
Neurodegenerative Process
20%
Parkinson's Disease
100%
Substantia nigra
80%
Medicine and Dentistry
Diffusion Tensor Imaging
100%
Parkinson's Disease
100%
Physical Disease by Body Function
20%
Substantia nigra
80%