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Coronary Artery Lumen Segmentation Using Location-Adaptive Threshold in Coronary Computed Tomographic Angiography: A Proof-of-Concept.

Cheong-Il ShinSang Joon ParkJi-Hyun KimYeonyee Elizabeth YoonEun Ah ParkBon-Kwon KooWhal Lee
Published in: Korean journal of radiology (2020)
SATM underestimated the lumen parameters for computed lumen segmentation in CCTA, and this may be overcome by using LATM.
Keyphrases
  • coronary artery
  • ultrasound guided
  • deep learning
  • convolutional neural network
  • pulmonary artery
  • optical coherence tomography
  • computed tomography
  • coronary artery disease
  • heart failure
  • atrial fibrillation