4 papers · 1 filter
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…
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…
Continual atlas-based segmentation of prostate MRI
Amin Ranem, Camila González, Daniel Pinto dos Santos +3
Continual learning (CL) methods designed for natural image classification often fail to reach basic quality standards for medical image segmentation. Atlas-based segmentation, a we…
Efficient Large Scale Medical Image Dataset Preparation for Machine Learning Applications
Stefan Denner, Jonas Scherer, Klaus Kades +7
In the rapidly evolving field of medical imaging, machine learning algorithms have become indispensable for enhancing diagnostic accuracy. However, the effectiveness of these algor…