基于KAN和U-Net网络的颌面结构全景分割方法
蔡智,周正东,袁晓曦,杨泽毅,袁梦瑶

A panoramic segmentation method for maxillofacial structures based on KAN and U-Net networks
Zhi CAI,Zhengdong ZHOU,Xiaoxi YUAN,Zeyi YANG,Mengyao YUAN
表 2 不同的方法HD95系数比较
Tab.2 Comparison of HD95 coefficients of different methods
网络HD95/mm
均值(不计牙髓)颌骨IAC上颌窦咽喉牙齿修复体牙髓
CNNsnnU-Net[20]17.8612.5329.1128.3919.2318.3220.95
nnU-Net ResEnc[20]14.4812.5327.8129.9917.7514.2616.32
Transf.TransU-Net[20]20.1749.0211.9959.7642.8715.0422.65
nnFormer[20]5.4520.0910.068.2224.532.9413.67
UNETR++[20]17.235.4415.1015.4818.9617.9119.70
MambaUMamba[20]5.2822.1716.234.3525.252.2313.97
VMamba[20]5.177.179.949.8923.953.3914.63
Swin-UMamba[20]2.944.252.022.382.792.5914.93
3-Stage3D UKAN_SE5.271.629.968.201.172.1824.872.86
PMFSNet3D5.481.6311.385.251.172.3729.032.80
本研究模型5.041.5910.782.331.171.9624.822.11