Seizure onset zone classification based on imbalanced iEEG with data augmentation
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DOI: 10.1088/1741-2552/aca04f
Abstract: Objective. Identifying the seizure onset zone (SOZ) in patients with focal epilepsy is the critical information required for surgery. However, collecting this information is challenging, time-consuming, and subjective. Some machine learning methods reduce the workload… read more here.
Keywords: method; class; ieeg; augmentation ... See more keywords