Review of Unsupervised Anomaly Detection Techniques for Medical Imaging
Unsupervised anomaly detection enables the identification of out-of-distribution anomalous samples using only normal samples for training. Thus, it can be applied in the field of medical imaging for automated lesion detection and localization, playing a significant role in assisting disease screenin...
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| Principais autores: | , , , , |
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| Formato: | Artigo |
| Idioma: | Chinês |
| Publicado: |
Editorial Department of Journal on Communications
2026-01-01
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| Series: | Tongxin xuebao |
| Assuntos: | |
| Acceso en liña: | http://www.joconline.com.cn/zh/article/doi/10.11959/j.issn.1000-436x/ |
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