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A Deep Learning Model for the Accurate and Reliable Classification of Disc Degeneration Based on MRI Data

Erstveröffentlichung
2021
Authors
Niemeyer, Frank
Galbusera, Fabio
Tao, Youping
Kienle, Annette
Beer, Meinrad
et al.
Wissenschaftlicher Artikel


Published in
Investigative Radiology ; 56 (2021), 2. - S. 78-85. - ISSN 0020-9996. - eISSN 1536-0210
Link to publication
https://dx.doi.org/10.1097/RLI.0000000000000709
Institutions
UKU. Institut für Unfallchirurgische Forschung und Biomechanik
UKU. Klinik für diagnostische und interventionelle Radiologie
EU Project uulm
iPSpine / Induced pluripotent stem cell-based therapy for spinal regeneration / EC / H2020 / 825925
GENODISC / Disc-degeneration linked pathologies: novel biomarkers and diagnostics for targeting treatment and repair / EC / FP7 / 201626
Subject headings
[Free subject headings]: spine | intervertebral disc degeneration | radiological classification | deep learning | machine learning | image analysis
[DDC subject group]: DDC 610 / Medicine & health

Metadata
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