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Anatomical attention can help to segment the dilated pancreatic duct in abdominal CT.

Chen ShenHolger R RothYuichiro HayashiMasahiro OdaGen SatoTadaaki MiyamotoDaniel RueckertKensaku Mori
Published in: International journal of computer assisted radiology and surgery (2024)
We proposed an anatomical attention-based strategy for the dilated pancreatic duct segmentation. Our proposed strategy significantly outperforms earlier approaches. The attention mechanism helps to focus on the pancreas region, while the enhancement of the tubular structure enables FCNs to capture the vessel-like structure. The proposed technique might be applied to other tube-like structure segmentation tasks within targeted anatomies.
Keyphrases
  • working memory
  • deep learning
  • convolutional neural network
  • computed tomography
  • magnetic resonance imaging
  • image quality
  • machine learning
  • dual energy
  • contrast enhanced