Automated Detection of Presymptomatic Conditions in Spinocerebellar Ataxia Type 2 Using Monte Carlo Dropout and Deep Neural Network Techniques with Electrooculogram Signals
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Title
Automated Detection of Presymptomatic Conditions in Spinocerebellar Ataxia Type 2 Using Monte Carlo Dropout and Deep Neural Network Techniques with Electrooculogram Signals
Authors
Keywords
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Journal
SENSORS
Volume 20, Issue 11, Pages 3032
Publisher
MDPI AG
Online
2020-05-29
DOI
10.3390/s20113032
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