Enhancing domain generalization in the AI-based analysis of chest radiographs with federated learning

Abstract Developing robust artificial intelligence (AI) models that generalize well to unseen datasets is challenging and usually requires large and variable datasets, preferably from multiple institutions. In federated learning (FL), a model is trained collaboratively at numerous sites that hold lo...

Ausführliche Beschreibung

Bibliographische Detailangaben
Hauptverfasser: Soroosh Tayebi Arasteh, Christiane Kuhl, Marwin-Jonathan Saehn, Peter Isfort, Daniel Truhn, Sven Nebelung
Format: Artikel
Sprache:English
Veröffentlicht: Nature Portfolio 2023-12-01
Schriftenreihe:Scientific Reports
Online Zugang:https://doi.org/10.1038/s41598-023-49956-8