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...
| Автори: | , , , |
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| Формат: | Report |
| Мова: | English |
| Опубліковано: |
ArXiv
2022
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| _version_ | 1826308458953048064 |
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| author | Windsor, R Jamaludin, A Kadir, T Zisserman, A |
| author_facet | Windsor, R Jamaludin, A Kadir, T Zisserman, A |
| author_sort | Windsor, R |
| collection | OXFORD |
| description | 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/
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| first_indexed | 2024-03-07T07:19:49Z |
| format | Report |
| id | oxford-uuid:6589ceba-3ad2-4e2a-b7c1-9d2e539a75d8 |
| institution | University of Oxford |
| language | English |
| last_indexed | 2024-03-07T07:19:49Z |
| publishDate | 2022 |
| publisher | ArXiv |
| record_format | dspace |
| spelling | oxford-uuid:6589ceba-3ad2-4e2a-b7c1-9d2e539a75d82022-09-15T15:01:01ZSpineNetV2: Automated detection, labelling and radiological grading of clinical MR scans Reporthttp://purl.org/coar/resource_type/c_93fcuuid:6589ceba-3ad2-4e2a-b7c1-9d2e539a75d8EnglishSymplectic ElementsArXiv2022Windsor, RJamaludin, AKadir, TZisserman, AThis 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/ |
| spellingShingle | Windsor, R Jamaludin, A Kadir, T Zisserman, A SpineNetV2: Automated detection, labelling and radiological grading of clinical MR scans |
| title | SpineNetV2: Automated detection, labelling and radiological grading of clinical MR scans
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| title_full | SpineNetV2: Automated detection, labelling and radiological grading of clinical MR scans
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| title_fullStr | SpineNetV2: Automated detection, labelling and radiological grading of clinical MR scans
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| title_full_unstemmed | SpineNetV2: Automated detection, labelling and radiological grading of clinical MR scans
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| title_short | SpineNetV2: Automated detection, labelling and radiological grading of clinical MR scans
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| title_sort | spinenetv2 automated detection labelling and radiological grading of clinical mr scans |
| work_keys_str_mv | AT windsorr spinenetv2automateddetectionlabellingandradiologicalgradingofclinicalmrscans AT jamaludina spinenetv2automateddetectionlabellingandradiologicalgradingofclinicalmrscans AT kadirt spinenetv2automateddetectionlabellingandradiologicalgradingofclinicalmrscans AT zissermana spinenetv2automateddetectionlabellingandradiologicalgradingofclinicalmrscans |