Dies ist eine Übersichtsseite mit Metadaten zu dieser wissenschaftlichen Arbeit. Der vollständige Artikel ist beim Verlag verfügbar.
Medical imaging privacy: A systematic scoping review of key parameters in dataset construction and data protection
7
Zitationen
8
Autoren
2025
Jahr
Abstract
The findings of this review highlight several key considerations for effective pseudo-anonymization and de-identification of medical images. The review emphasizes the need for a careful balance between protecting patient privacy and ensuring that medical datasets retain sufficient quality and richness for research and technological development.
Ähnliche Arbeiten
Explainable Artificial Intelligence (XAI): Concepts, taxonomies, opportunities and challenges toward responsible AI
2019 · 8.245 Zit.
Stop explaining black box machine learning models for high stakes decisions and use interpretable models instead
2019 · 8.100 Zit.
High-performance medicine: the convergence of human and artificial intelligence
2018 · 7.466 Zit.
Proceedings of the 19th International Joint Conference on Artificial Intelligence
2005 · 5.776 Zit.
Peeking Inside the Black-Box: A Survey on Explainable Artificial Intelligence (XAI)
2018 · 5.429 Zit.