Machine learning for image analysis in the cervical spine: Systematic review of the available models and methods
| Main Authors: | , , , , , , |
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| Format: | Article |
| Language: | English |
| Published: |
Elsevier
2022-01-01
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| Series: | Brain and Spine |
| Subjects: | |
| Online Access: | http://www.sciencedirect.com/science/article/pii/S2772529422008074 |
| _version_ | 1797977732562288640 |
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| author | C.M.W. Goedmakers L.M. Pereboom J.W. Schoones M.L. de Leeuw den Bouter R.F. Remis M. Staring C.L.A. Vleggeert-Lankamp |
| author_facet | C.M.W. Goedmakers L.M. Pereboom J.W. Schoones M.L. de Leeuw den Bouter R.F. Remis M. Staring C.L.A. Vleggeert-Lankamp |
| author_sort | C.M.W. Goedmakers |
| collection | DOAJ |
| first_indexed | 2024-04-11T05:11:39Z |
| format | Article |
| id | doaj.art-34f558cbc5fc492e96bfcdeb5e9758f4 |
| institution | Directory Open Access Journal |
| issn | 2772-5294 |
| language | English |
| last_indexed | 2024-04-11T05:11:39Z |
| publishDate | 2022-01-01 |
| publisher | Elsevier |
| record_format | Article |
| series | Brain and Spine |
| spelling | doaj.art-34f558cbc5fc492e96bfcdeb5e9758f42022-12-25T04:20:47ZengElsevierBrain and Spine2772-52942022-01-012101666Machine learning for image analysis in the cervical spine: Systematic review of the available models and methodsC.M.W. Goedmakers0L.M. Pereboom1J.W. Schoones2M.L. de Leeuw den Bouter3R.F. Remis4M. Staring5C.L.A. Vleggeert-Lankamp6Department of Neurosurgery, Leiden University Medical Center, Leiden, the Netherlands; Computational Neuroscience Outcomes Center, Department of Neurosurgery, Brigham and Women's Hospital, Harvard Medical School, Boston, MA, USA; Corresponding author. Department of Neurosurgery, Albinusdreef 2, 2300 RC, Leiden, the Netherlands.Faculty of Mechanical, Maritime and Materials Engineering (3mE), Delft University of Technology, Delft, the NetherlandsWalaeus Library, Leiden University Medical Center, Leiden, the NetherlandsDelft Institute of Applied Mathematics, Department of Numerical Analysis, Delft University of Technology, Delft, the NetherlandsCircuits and Systems Group, Microelectronics Department, Delft University of Technology, Delft, the NetherlandsDepartment of Radiology, Leiden University Medical Center, Leiden, the Netherlands; Intelligent Systems Department, Delft University of Technology, Delft, the NetherlandsDepartment of Neurosurgery, Leiden University Medical Center, Leiden, the Netherlands; Department of Neurosurgery Haaglanden Medical Centre and HAGA Teaching Hospitals, The Hague, the Netherlands; Department of Neurosurgery, Spaarne Gasthuis Haarlem/Hoofddorp, the Netherlandshttp://www.sciencedirect.com/science/article/pii/S2772529422008074Cervical spineComputer aided diagnosticsRadiological imagingMachine learningImage analysis |
| spellingShingle | C.M.W. Goedmakers L.M. Pereboom J.W. Schoones M.L. de Leeuw den Bouter R.F. Remis M. Staring C.L.A. Vleggeert-Lankamp Machine learning for image analysis in the cervical spine: Systematic review of the available models and methods Brain and Spine Cervical spine Computer aided diagnostics Radiological imaging Machine learning Image analysis |
| title | Machine learning for image analysis in the cervical spine: Systematic review of the available models and methods |
| title_full | Machine learning for image analysis in the cervical spine: Systematic review of the available models and methods |
| title_fullStr | Machine learning for image analysis in the cervical spine: Systematic review of the available models and methods |
| title_full_unstemmed | Machine learning for image analysis in the cervical spine: Systematic review of the available models and methods |
| title_short | Machine learning for image analysis in the cervical spine: Systematic review of the available models and methods |
| title_sort | machine learning for image analysis in the cervical spine systematic review of the available models and methods |
| topic | Cervical spine Computer aided diagnostics Radiological imaging Machine learning Image analysis |
| url | http://www.sciencedirect.com/science/article/pii/S2772529422008074 |
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