Automatic airway tree segmentation based on multi-scale context information.

Kai ZhouNan ChenXiuyuan XuZihuai WangJixiang GuoLunxu LiuZhang Yi

Published in: International journal of computer assisted radiology and surgery (2021)

The MFA-Net is competitive with the state-of-the-art methods. The experiment results indicate that the MFA block improves the performance of the network by utilizing multi-scale context information. More accurate segmentation results will be more helpful in further clinical analysis.

Keyphrases

deep learning
convolutional neural network
health information
machine learning
high resolution
social media
mass spectrometry