Adversarial attacks and adversarial robustness in computational pathology

Artificial Intelligence (AI) can support diagnostic workflows in oncology by aiding diagnosis and providing biomarkers directly from routine pathology slides. However, AI applications are vulnerable to adversarial attacks. Hence, it is essential to quantify and mitigate this risk before widespread c...

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Detalles Bibliográficos
Autores principales: Ghaffari Laleh, Narmin, Truhn, Daniel, Veldhuizen, Gregory Patrick, Han, Tianyu, van Treeck, Marko, Buelow, Roman D., Langer, Rupert, Dislich, Bastian, Boor, Peter, Schulz, Volkmar, Kather, Jakob Nikolas
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2022
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9522657/
https://www.ncbi.nlm.nih.gov/pubmed/36175413
http://dx.doi.org/10.1038/s41467-022-33266-0

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9522657/
https://www.ncbi.nlm.nih.gov/pubmed/36175413
http://dx.doi.org/10.1038/s41467-022-33266-0

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