An externally validated deep learning model for the accurate segmentation of the lumbar paravertebral muscles.

Frank NiemeyerAnnika ZankerRené JonasYouping TaoLuca Maria SconfienzaHans-Joachim Wilke

Published in: European spine journal : official publication of the European Spine Society, the European Spinal Deformity Society, and the European Section of the Cervical Spine Research Society (2022)

The externally validated deep neural network was able to perform the segmentation of the paravertebral muscles in an accurate and fully automated manner, although it is not without limitations. The model is therefore a suitable research tool to perform large-scale studies in the field of spinal disorders and sarcopenia, overcoming the limitations of non-automated methods.

Keyphrases

deep learning
neural network
convolutional neural network
artificial intelligence
machine learning
ultrasound guided
high resolution
spinal cord
minimally invasive
skeletal muscle
high throughput
mass spectrometry
postoperative pain