Multicenter Privacy-Preserving Model Training for Deep Learning Brain Metastases Autosegmentation

no code implementations • 17 May 2024 • Yixing Huang, Zahra Khodabakhshi, Ahmed Gomaa, Manuel Schmidt, Rainer Fietkau, Matthias Guckenberger, Nicolaus Andratschke, Christoph Bert, Stephanie Tanadini-Lang, Florian Putz

When the UKER pretrained model is applied to USZ, LWF achieves a higher average F1 score (0. 839) than naive TL (0. 570) and single-center training (0. 688) on combined UKER and USZ test data.

F1 Score Privacy Preserving +1