Keywords: Detection, Segmentation, Pulmonary Embolus, Dual-Energy CT, U-Net
Abstract: 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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Paper Type: novel methodological ideas without extensive validation
Primary Subject Area: Detection and Diagnosis
Secondary Subject Area: Segmentation
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