Pulmonary Embolus Detection with Dual-Energy CT Data AugmentationDownload PDF

22 Apr 2022, 16:37 (edited 04 Jun 2022)MIDL 2022 Short PapersReaders: Everyone
  • 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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