Differential diagnosis of benign and malignant vertebral fracture on CT using deep learning.
Yuan LiYang ZhangEnlong ZhangYongye ChenQizheng WangKe LiuHon J YuHuishu YuanNing LangMin-Ying SuPublished in: European radiology (2021)
• Deep learning using ResNet50 can yield a high accuracy for differential diagnosis of benign and malignant vertebral fracture on CT. • The per-slice diagnostic sensitivity, specificity, and accuracy were 0.90, 0.79, and 85% in deep learning using ResNet50 analysis. • The slices combined with per-patient diagnostic sensitivity, specificity, and accuracy were 0.95, 0.80, and 88% in deep learning using ResNet50 analysis.