Graph convolutional networks for automated intracranial artery labeling.

Iris N VosYnte M RuigrokIshaan R BhatKimberley M TimminsBirgitta K VelthuisHugo J Kuijf

Published in: Journal of medical imaging (Bellingham, Wash.) (2024)

The addition of atlas-based features improved node classification results. The GraphConv operator, which incorporates higher-order structural information during training, is recommended over the GCNConv operator based on the accuracy and calibration of predicted outcomes.

Keyphrases

deep learning
machine learning
neural network
convolutional neural network
lymph node
single cell
high throughput
health information
virtual reality
optic nerve
type diabetes
healthcare
social media
glycemic control
optical coherence tomography