A Deep Learning Model for the Accurate and Reliable Classifi…
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- DOI 10.1097/rli.0000000000000709
- PMID https://pubmed.ncbi.nlm.nih.gov/32694451
- OpenAlex ID W3044919629
- Type Article
- Language EN
- Published 17 Jul 2020
- Volume 56 (2)
- Pages 78–85
- Source Investigative Radiology
- Publisher Lippincott Williams & Wilkins
- FWCI 2.28
- Countries 2
- Institutions 2
- Added 29 Jul 2020
- Updated 31 Oct 2026
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A Deep Learning Model for the Accurate and Reliable Classification of Disc Degeneration Based on MRI Data
Article 2020 EN
OBJECTIVES: Although magnetic resonance imaging-based formalized grading schemes for intervertebral disc degeneration offer improved reproducibility compared with purely subjective ratings, their intrarater and interrater reliability are not nearly good enough to be able to detect small to medium effects in clinical longitudinal studies. The aim of this study thus was to develop a method that enab…
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6 authors| # | Author | Institutions | ORCID |
|---|---|---|---|
| 1 | Frank Niemeyer Corresponding | University Hospital Ulm (DE) | |
| 2 | Fabio Galbusera | IRCCS Ospedale Galeazzi - Sant… (IT) | |
| 3 | Youping Tao Corresponding | University Hospital Ulm (DE) | |
| 4 | Annette Kienle | — | |
| 5 | Meinrad Beer | University Hospital Ulm (DE) | |
| 6 | Hans‐Joachim Wilke Corresponding | University Hospital Ulm (DE) |
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