SpineNetV2: Automated detection, labelling and radiological grading of clinical MR scans
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 ran...
Hauptverfasser: | Windsor, R, Jamaludin, A, Kadir, T, Zisserman, A |
---|---|
Format: | Report |
Sprache: | English |
Veröffentlicht: |
ArXiv
2022
|
Ähnliche Einträge
Ähnliche Einträge
-
Automated detection, labelling and radiological grading of clinical spinal MRIs
von: Windsor, R, et al.
Veröffentlicht: (2024) -
External validation of SpineNetV2 on a comprehensive set of radiological features for grading lumbosacral disc pathologies
von: Alemu Sisay Nigru, MSc, et al.
Veröffentlicht: (2024-12-01) -
Automated detection, labelling and radiological grading of clinical spinal MRIs
von: Rhydian Windsor, et al.
Veröffentlicht: (2024-07-01) -
SpineNet: Automated classification and evidence visualization in spinal MRIs
von: Jamaludin, A, et al.
Veröffentlicht: (2017) -
Context-aware transformers for spinal cancer detection and radiological grading
von: Windsor, R, et al.
Veröffentlicht: (2022)