- Abstract:
-
This paper describes a fully automatic system for obtaining the standard Pfi rrmann degeneration grading of individual intervertebral spinal discs in T2 MRI scans. It involves detecting and labelling all the vertebrae in the scan and then learning a regression from the disc region to the grading. In developing the regression function we investigate a spectrum of support regions which involve di ering degrees of segmentation of the scan: our intention is to ascertain to what extent segmentatio...
Expand abstract - Publication status:
- Published
- Peer review status:
- Peer reviewed
- Publisher copy:
- 10.1007/978-3-319-14148-0_11
-
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- Publisher:
- Springer Verlag Publisher's website
- Volume:
- 20
- Issue:
- 3
- Pages:
- 119-130
- Publication date:
- 2015-02-10
- Acceptance date:
- 2014-06-23
- DOI:
- ISSN:
-
2212-9391
- Pubs id:
-
pubs:678997
- URN:
-
uri:ac3d8801-0f9b-420d-9374-e3fe547cd915
- UUID:
-
uuid:ac3d8801-0f9b-420d-9374-e3fe547cd915
- Local pid:
- pubs:678997
- Copyright holder:
- Springer International Publishing Switzerland
- Copyright date:
- 2015
- Notes:
- © Springer International Publishing Switzerland 2015. This article was presented at MICCAI 2014: 17th International Conference on Medical Image Computing & Computer Assisted Intervention (14-18 September 2014: Boston, MA, USA).
Conference item
Radiological Grading of Spinal MRI
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