Deep learning at the Radiology & Nuclear Medicine Clinic / University Hospital Basel
08-31, 14:35–14:50 (Europe/Zurich), HS 120

Deep learning can assist radiology doctors in interpreting and analyzing radiology images. We will present use cases which are used today in clinical practice. These range from organ segmentation to image classification.

We will present how python and deep learning is used at the radiology department at the University Hospital Basel. The talk should give an overview of how the use cases are initially designed, developed and brought to production. One use case will be how deep learning helped quantifying the severity of COVID-19 infected lungs. Another use case will be how it can help to detect vertebrae fractures.

Abstract as a tweet

Deep learning at the radiology department @UniSpitalBaselCH


Image Processing, Machine Learning, Medicine/Health

Expected audience expertise: Domain


Expected audience expertise: Python


Trained software engineer now doing machine learning/deep learning at the University Hospital Basel.