Improving performance of deep learning models using 3.5D U-Net via majority voting for tooth segmentation on cone beam computed tomography
利用多数投票法提高基于 3.5D U-Net 的深度学习模型在锥形束计算机断层扫描牙齿分割中的性能
期刊:Scientific Reports
影响因子:3.9
doi:10.1038/s41598-022-23901-7
Hsu, Kang; Yuh, Da-Yo; Lin, Shao-Chieh; Lyu, Pin-Sian; Pan, Guan-Xin; Zhuang, Yi-Chun; Chang, Chia-Ching; Peng, Hsu-Hsia; Lee, Tung-Yang; Juan, Cheng-Hsuan; Juan, Cheng-En; Liu, Yi-Jui; Juan, Chun-Jung
