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Detection of Cervical Foraminal Stenosis from Oblique Radiograph Using Convolutional Neural Network Algorithm.

Jihie KimJae Jun YangJaeha SongSeongWoon JoYoungHoon KimJiho ParkJin Bog LeeGun-Woo LeeSehan Park
Published in: Yonsei medical journal (2024)
A CNN algorithm that can detect neural foraminal stenosis in cervical oblique radiographs was developed. The AUC, F1 score, and accuracy were 0.889, 88.5%, and 84.6%, respectively. With the current CNN model, cervical oblique radiography could be a more effective screening tool for neural foraminal stenosis.
Keyphrases
  • convolutional neural network
  • deep learning
  • machine learning
  • magnetic resonance
  • computed tomography
  • neural network
  • cone beam computed tomography
  • contrast enhanced