Automated magnetic resonance imaging-based grading of the lumbar intervertebral disc and facet joints.
Maryam NikpasandJill M MiddendorfVincent A EllaKristen E JonesBryan LaddTakashi TakahashiVictor H BarocasArin M EllingsonPublished in: JOR spine (2024)
The study highlights the potential of using deep learning in classifying the IVD and facet joint health, and due to the high variability in the Fujiwara scoring system, highlights the need for improved imaging and scoring techniques to evaluate facet joint health. All codes required to use the automatic grading routines described herein are available in the Data Repository for University of Minnesota (DRUM).
Keyphrases
- deep learning
- magnetic resonance imaging
- public health
- healthcare
- machine learning
- mental health
- artificial intelligence
- health information
- high resolution
- convolutional neural network
- human health
- minimally invasive
- health promotion
- computed tomography
- magnetic resonance
- social media
- fluorescence imaging
- climate change