2 papers
cs.CV2026
Parallel Training Using a CNN-DNN Architecture for Accelerated Development of Diagnostic Models
Janine Weber-Hamacher, Astha Jaiswal, Philipp Fervers +8
Artificial intelligence has shown promise in assisting radiologists in imaging-based diagnosis across a wide range of diseases. Efficient training of large deep learning models is…
cs.CV2024
Real-World Federated Learning in Radiology: Hurdles to overcome and Benefits to gain
Markus R. Bujotzek, Ünal Akünal, Stefan Denner +17
Objective: Federated Learning (FL) enables collaborative model training while keeping data locally. Currently, most FL studies in radiology are conducted in simulated environments…