SpikeNet 2.0
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资源简介：
SpikeNet2 is an advanced deep learning model for automated detection of epileptiform discharges (spikes) in electroencephalogram (EEG) recordings. The model achieves expert-level performance in both event-level spike detection and EEG-level classification, with significantly reduced false positive rates compared to previous models. Trained on a large multi-center dataset of 17,812 EEGs from 13,523 patients and validated across multiple external datasets, SpikeNet2 demonstrates high generalizability and clinical utility for epilepsy diagnosis and monitoring. Code is provided here: <https://github.com/bdsp- core/SpikeNet2](https://github.com/bdsp-core/SpikeNet2>
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BDSP创建时间：
2025-04-30
