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Open Access

Peer-reviewed

Research Article

Automated selection of mid-height intervertebral disc slice in traverse lumbar spine MRI using a combination of deep learning feature and machine learning classifier

Friska Natalia,

Roles Funding acquisition, Investigation, Methodology, Project administration, Writing – review & editing

Affiliation Faculty of Engineering and Informatics, Universitas Multimedia Nusantara, Serpong, Indonesia
⨯
Julio Christian Young,

Roles Software

Affiliation Faculty of Engineering and Informatics, Universitas Multimedia Nusantara, Serpong, Indonesia
⨯
Nunik Afriliana,

Roles Software

Affiliation Faculty of Engineering and Informatics, Universitas Multimedia Nusantara, Serpong, Indonesia
⨯
Hira Meidia,

Roles Resources

Affiliation Faculty of Engineering and Informatics, Universitas Multimedia Nusantara, Serpong, Indonesia
⨯
Reyhan Eddy Yunus,

Roles Investigation, Validation

Affiliation Dr. Cipto Mangunkusumo Hospital, Jakarta, Indonesia
⨯
Sud Sudirman

Roles Conceptualization, Methodology, Supervision, Writing – review & editing

* E-mail: s.sudirman@ljmu.ac.uk

Affiliation School of Computer Science and Mathematics, Liverpool John Moores University, Liverpool, United Kingdom

https://orcid.org/0000-0003-4083-0810

⨯

Automated selection of mid-height intervertebral disc slice in traverse lumbar spine MRI using a combination of deep learning feature and machine learning classifier

Friska Natalia,
Julio Christian Young,
Nunik Afriliana,
Hira Meidia,
Reyhan Eddy Yunus,
Sud Sudirman

x

Published: January 13, 2022
https://doi.org/10.1371/journal.pone.0261659

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