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 ParkPublished 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.