Machine learning for image analysis in the cervical spine

Systematic review of the available models and methods

Review (2022)

Authors

C.M.W. Goedmakers Harvard Medical School, Leiden University Medical Center
L. M. Pereboom Student
Jan W. Schoones Leiden University Medical Center
M.L. de Leeuw den Bouter Numerical Analysis - EEMCS
R.F. Remis Tera-Hertz Sensing - EEMCS
M. Staring Leiden University Medical Center, Pattern Recognition and Bioinformatics - EEMCS
C. L.A. Vleggeert-Lankamp Spaarne Gasthuis Haarlem/Hoofddorp, Leiden University Medical Center, Haaglanden Medical Center
Research Group
Numerical Analysis (EEMCS) (TU Delft)
Copyright: © 2022 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
DOI
help_outline
https://doi.org/10.1016/j.bas.2022.101666
Machine learning Image analysis Cervical spine Computer aided diagnostics Radiological imaging
More Info
expand_more

Published Date

2022

Language

English

Faculty

Electrical Engineering, Mathematics and Computer Science

Department

Delft Institute of Applied Mathematics

Research Group

Numerical Analysis