Adversarial Attacks on Medical Segmentation Model via Transformation of Feature Statistics
Deep learning-based segmentation models have made a profound impact on medical procedures, with U-Net based computed tomography (CT) segmentation models exhibiting remarkable performance. Yet, even with these advances, these models are found to be vulnerable to adversarial attacks, a problem that eq...
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| Główni autorzy: | , , , , , |
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| Format: | Artigo |
| Język: | Inglês |
| Wydane: |
MDPI AG
2024-03-01
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| Seria: | Applied Sciences |
| Hasła przedmiotowe: | |
| Dostęp online: | https://www.mdpi.com/2076-3417/14/6/2576 |
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