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

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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.
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Friday 8th July
Poster Session 3.2 - onsite 11:00 - 12:00, virtual 15:20 - 16:20 (UTC+2)
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