  This technical report 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 significantly
faster, more accurate and works across a range of fields-of-view (as opposed to
just lumbar scans). (2) Radiological grading adopts a more powerful
architecture, adding several new grading schemes without loss in performance. A
demo of the software is available at the project website:
http://zeus.robots.ox.ac.uk/spinenet2/.
