Anomaly Detection in Medical Time Series with Generative Adversarial Networks: A Selective Review
Anomaly detection in medical data is often of critical importance, from diagnosing and potentially localizing disease processes such as epilepsy to detecting and preventing fatal events such as cardiac arrhythmias. Generative adversarial networks (GANs) have since their inception shown promise in va...
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| Formato: | Capítulo de libro |
| Lenguaje: | inglés |
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IntechOpen
2023
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| Materias: | |
| Acceso en línea: | https://www.intechopen.com/chapters/87894 |
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