A quantitative evaluation of the deep learning model of segmentation and measurement of cervical spine MRI in healthy adults.

Yi-Feng ZhuYushi LiKexin WangJinpeng LiXiaodong ZhangYaofeng ZhangJialun LiXiaoying Wang

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

A deep learning model based on 3D U-Net automatically segmented and performed measurements on cervical spine MR images from healthy adults, paving the way for quantitative diagnosis models for spinal cord diseases.

Keyphrases

deep learning
convolutional neural network
spinal cord
artificial intelligence
contrast enhanced
machine learning
high resolution
magnetic resonance imaging
spinal cord injury
magnetic resonance
neuropathic pain
diffusion weighted imaging