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Comparing Detection Schemes for Adversarial Images against Deep Learning Models for Cancer Imaging
SIMPLE SUMMARY: While deep learning has become a powerful tool in analysis of cancer imaging, deep learning models have potential vulnerabilities that pose security threats in the setting of clinical implementation. One weakness of deep learning models is that they can be deceived by adversarial ima...
| Autores principales: | , , , , , , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
MDPI
2023
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| Materias: | |
| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10000732/ https://www.ncbi.nlm.nih.gov/pubmed/36900339 http://dx.doi.org/10.3390/cancers15051548 |