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Fully automated convolutional neural network-based affine algorithm improves liver registration and lesion co-localization on hepatobiliary phase T1-weighted MR images.

Kyle A HasenstabGuilherme Moura CunhaAtsushi HigakiShintaro IchikawaKang WangTimo DelgadoRyan L BrunsingAlexandra SchleinLeornado Kayat BittencourtArmin SchwartzmanKatie J FowlerAlbert HsiaoClaude B Sirlin
Published in: European radiology experimental (2019)
A fully automated algorithm accurately registered the liver within and between examinations, yielding better liver and focal observation co-localization compared to manual registration.
Keyphrases
  • deep learning
  • convolutional neural network
  • machine learning
  • magnetic resonance
  • high throughput
  • contrast enhanced
  • computed tomography
  • optical coherence tomography