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Heart and great vessels segmentation in congenital heart disease via CNN and conditioned energy function postprocessing.

Jiaxuan LiuBolun ZengXiaojun Chen
Published in: International journal of computer assisted radiology and surgery (2024)
The outcomes on the public dataset affirm the efficacy of our proposed segmentation method. Precise segmentation of the entire heart and great vessels can significantly aid in the diagnosis and treatment of CHD, underscoring the clinical relevance of our findings.
Keyphrases
  • convolutional neural network
  • congenital heart disease
  • deep learning
  • heart failure
  • healthcare
  • atrial fibrillation
  • mental health
  • adipose tissue
  • type diabetes
  • metabolic syndrome
  • skeletal muscle
  • weight loss