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Four-dimensional fully convolutional residual network-based liver segmentation in Gd-EOB-DTPA-enhanced MRI.

Tomomi TakenagaShouhei HanaokaYukihiro NomuraMitsutaka NemotoMasaki MurataTakahiro NakaoSoichiro MikiTakeharu YoshikawaNaoto HayashiOsamu Abe
Published in: International journal of computer assisted radiology and surgery (2019)
Our proposed 4D FC-ResNet showed satisfactory performance for liver segmentation as preprocessing in CAD software.
Keyphrases
  • deep learning
  • convolutional neural network
  • coronary artery disease
  • magnetic resonance imaging
  • contrast enhanced
  • computed tomography
  • magnetic resonance
  • machine learning