Machine learning for image analysis in the cervical spine

None, None; None, None; None, None; None, None; None, None; None, None; None, None

Machine learning for image analysis in the cervical spine

Systematic review of the available models and methods

Review (2022)

Author(s)

C.M.W. Goedmakers (Leiden University Medical Center, Harvard Medical School)

L. M. Pereboom (Student TU Delft)

J. W. Schoones (Leiden University Medical Center)

M. L. de Leeuw den Bouter (TU Delft - Electrical Engineering, Mathematics and Computer Science)

R. F. Remis (TU Delft - Electrical Engineering, Mathematics and Computer Science)

M. Staring (Leiden University Medical Center, TU Delft - Electrical Engineering, Mathematics and Computer Science)

C. L.A. Vleggeert-Lankamp (Leiden University Medical Center, Spaarne Gasthuis Haarlem/Hoofddorp, Haaglanden Medical Center)

Research Group

Numerical Analysis

Machine learning Image analysis Cervical spine Computer aided diagnostics Radiological imaging

DOI related publication

https://doi.org/10.1016/j.bas.2022.101666 Final published version

To reference this document use

https://resolver.tudelft.nl/uuid:474172c2-a326-4715-988b-080f16ce5013

More Info

expand_more

Publication Year

2022

Language

English

Research Group

Numerical Analysis

Volume number

2

Article number

101666

Downloads counter

452

Collections

Institutional Repository

Reuse Rights

Other than for strictly personal use, it is not permitted to download, forward or distribute the text or part of it, without the consent of the author(s) and/or copyright holder(s), unless the work is under an open content license such as Creative Commons.

Files

1_s2.0_S2772529422008074_main.... (pdf)

(pdf | 10.7 Mb)