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Label cleaning and propagation for improved segmentation performance using fully convolutional networks.

Takaaki SuginoYutaro SuzukiTaichi KinNobuhito SaitoShinya OnogiToshihiro KawaseKensaku MoriYoshikazu Nakajima
Published in: International journal of computer assisted radiology and surgery (2021)
This paper presented a validation for label cleaning and propagation based on FCNs. FCNs might have the potential to achieve improved segmentation performances even from sparse annotation data including possible noises by manual annotation, which can be an important clue to more efficient annotation.
Keyphrases
  • deep learning
  • convolutional neural network
  • rna seq
  • neural network
  • electronic health record
  • single cell
  • big data
  • network analysis