A Deep Learning Model for the Accurate and Reliable Classification of Disc Degeneration Based on MRI Data.
Journal:
Investigative radiology
Published Date:
Feb 1, 2021
Abstract
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 enables automatic and therefore reproducible and reliable evaluation of disc degeneration based on conventional clinical image data and Pfirrmann's grading scheme.