Anomaly Detection for Medical Images Using Heterogeneous Auto-Encoder
Anomaly detection is an important task for medical image analysis, which can alleviate the reliance of supervised methods on large labelled datasets. Most existing methods use a pixel-wise self-reconstruction framework for anomaly detection. However, there are two challenges of these studies: 1) the...
Ausführliche Beschreibung
Bibliographische Detailangaben
| Veröffentlicht in: | IEEE transactions on image processing : a publication of the IEEE Signal Processing Society. - 1992. - 33(2024) vom: 09., Seite 2770-2782
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| 1. Verfasser: |
Lu, Shuai
(VerfasserIn) |
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| Weitere Verfasser: |
Zhang, Weihang,
Zhao, He,
Liu, Hanruo,
Wang, Ningli,
Li, Huiqi |
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| Format: | Online-Aufsatz
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| Sprache: | English |
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| Veröffentlicht: |
2024
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| Zugriff auf das übergeordnete Werk: | IEEE transactions on image processing : a publication of the IEEE Signal Processing Society
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| Schlagworte: | Journal Article |
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