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1 Ergebnisse
1
Predicting Optimal Deep Brain Stimulation Parameters for Pa..:
, In:
2024 International Conference on Distributed Computing and Optimization Techniques (ICDCOT)
,
Muruganandham, S K
;
Krithika, S
;
Alsalami, Zaid
.. - p. 1-5 , 2024
Link:
https://doi.org/10.1109/ICDCOT61034.2024.10515568
RT T1 <cTitle>2024 International Conference on Distributed Computing and Optimization Techniques (ICDCOT)</cTitle>: T1 <Title>Predicting Optimal Deep Brain Stimulation Parameters for Parkinson's Disease using Functional MRI and MSVM</Title> UL https://suche.suub.uni-bremen.de/peid=ieee-10515568&Exemplar=1&LAN=DE A1 Muruganandham, S K A1 Krithika, S A1 Alsalami, Zaid A1 Kumar S, Pradeep A1 Malathy, V YR 2024 K1 Support vector machines K1 Sensitivity K1 Parkinson's disease K1 Magnetic resonance imaging K1 Transfer learning K1 Predictive models K1 Feature extraction K1 parkinson's progression markers initiative (ppmi) K1 parkinson's disease K1 machine learning K1 relieff K1 VGG16 SP 1 OP 5 LK http://dx.doi.org/https://doi.org/10.1109/ICDCOT61034.2024.10515568 DO https://doi.org/10.1109/ICDCOT61034.2024.10515568 SF ELIB - SuUB Bremen
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