Pulmonary Embolus Detection with Dual-Energy CT Data Augmentation
Cornelia Hofsäß, Roman Johannes Gertz, Tanja Lossau, Jens-Peter M. Zemke, Tobias Klinder, Alexander C. Bunck, Hannes Nickisch
3D segmentation U-Nets are trained for pulmonary embolus detection on three different data sets. We investigate the impact of the training data set on the generalization capabilities and use dual-energy CT data augmentation to increase performance.
Friday 7th July
Poster Session 3.2 - onsite 11:00 - 12:00, virtual 15:20 - 16:20 (UTC+2)