• Corpus ID: 174802485

An Uncertainty-Driven GCN Refinement Strategy for Organ Segmentation

  title={An Uncertainty-Driven GCN Refinement Strategy for Organ Segmentation},
  author={Roger D. Soberanis-Mukul and Shadi Albarqouni and Nassir Navab},
Organ segmentation is an important pre-processing step in many computer assisted intervention and computer assisted diagnosis methods. In recent years, CNNs have dominated the state of the art in this task. Organ segmentation scenarios present a challenging environment for these methods due to high variability in shape, similarity with background, etc. This leads to the generation of false negative and false positive regions in the output segmentation. In this context, the uncertainty analysis… 

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