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Weak supervision as an efficient approach for automated seizure detection in electroencephalography
Automated seizure detection from electroencephalography (EEG) would improve the quality of patient care while reducing medical costs, but achieving reliably high performance across patients has proven difficult. Convolutional Neural Networks (CNNs) show promise in addressing this problem, but they a...
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| Pubblicato in: | NPJ Digit Med |
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| Autori principali: | , , , , |
| Natura: | Artigo |
| Lingua: | Inglês |
| Pubblicazione: |
Nature Publishing Group UK
2020
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| Soggetti: | |
| Accesso online: | https://ncbi.nlm.nih.gov/pmc/articles/PMC7170880/ https://ncbi.nlm.nih.gov/pubmed/32352037 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1038/s41746-020-0264-0 |
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