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...
المؤلفون الرئيسيون: | Windsor, R, Jamaludin, A, Kadir, T, Zisserman, A |
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التنسيق: | Report |
اللغة: | English |
منشور في: |
ArXiv
2022
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مواد مشابهة
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Automated detection, labelling and radiological grading of clinical spinal MRIs
حسب: Windsor, R, وآخرون
منشور في: (2024) -
External validation of SpineNetV2 on a comprehensive set of radiological features for grading lumbosacral disc pathologies
حسب: Alemu Sisay Nigru, MSc, وآخرون
منشور في: (2024-12-01) -
Automated detection, labelling and radiological grading of clinical spinal MRIs
حسب: Rhydian Windsor, وآخرون
منشور في: (2024-07-01) -
SpineNet: Automated classification and evidence visualization in spinal MRIs
حسب: Jamaludin, A, وآخرون
منشور في: (2017) -
Context-aware transformers for spinal cancer detection and radiological grading
حسب: Windsor, R, وآخرون
منشور في: (2022)