Automatic segmentation of dura for quantitative analysis of lumbar stenosis: A deep learning study with 518 CT myelograms.

Guoxin FanYufeng LiDongdong WangJianjin ZhangXiaokang DuHuaqing LiuXiang Liao

Published in: Journal of applied clinical medical physics (2024)

A dura-contouring tool was developed that could automatically segment the dural sac on CTM, and it demonstrated high accuracy and generalization ability. Additionally, the dura-contouring tool has the potential to be applied in patients with LSS because it facilitates the quantification of the dural CSA on stenotic slices.

Keyphrases

deep learning
convolutional neural network
weight loss
artificial intelligence
machine learning
computed tomography
minimally invasive
image quality
magnetic resonance imaging
dual energy
risk assessment
magnetic resonance