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Automatically Diagnosing Disk Bulge and Disk Herniation With Lumbar Magnetic Resonance Images by Using Deep Convolutional Neural Networks: Method Development Study.

Qiong PanKai ZhangLin HeZhou DongLei ZhangXiaohang WuYi WuYanjun Gao
Published in: JMIR medical informatics (2021)
The automatic diagnosis system was successfully built, and it could classify images of normal disks, disk bulge, and disk herniation. This system provided a web-based test for interpreting lumbar disk MR images that could significantly improve diagnostic efficiency and standardized diagnosis reports. This system can also be used to detect other lumbar abnormalities and cervical spondylosis.
Keyphrases
  • convolutional neural network
  • deep learning
  • magnetic resonance
  • minimally invasive
  • optical coherence tomography
  • machine learning
  • contrast enhanced