SpineNetV2: Automated Detection, Labelling and Radiological Grading Of Clinical MR Scans

@article{Windsor2022SpineNetV2AD,
  title={SpineNetV2: Automated Detection, Labelling and Radiological Grading Of Clinical MR Scans},
  author={Rhydian Windsor and Amir Jamaludin and Timor Kadir and Andrew Zisserman},
  journal={ArXiv},
  year={2022},
  volume={abs/2205.01683}
}
This technical paper presents SpineNetV2, an automated tool which: (i) detects and labels vertebral bodies in clinical spinal magnetic resonance (MR) scans across a range of commonly used sequences; and (ii) performs radiological grading of lumbar intervertebral discs in T2-weighted scans for a range of common degenerative changes. SpineNetV2 improves over the original SpineNet software in two ways: (1) The vertebral body detection stage is sigificantly faster, more accurate and works across a… 

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