基于3D scSE-UNet的肝脏CT图像半监督学习分割方法

刘清清,周志勇,范国华,钱旭升,胡冀苏,陈光强,戴亚康

Semi-supervised learning segmentation method of liver CT images based on 3D scSE-UNet

Qing-qing LIU,Zhi-yong ZHOU,Guo-hua FAN,Xu-sheng QIAN,Ji-su HU,Guang-qiang CHEN,Ya-kang DAI

表 4 3D UNet与3D scSE-UNet性能对比

Tab.4 Performance comparison of 3D UNet and 3D scSE-UNet

方法 DSC SEN PPV VOE/% RVD/% ASD/mm RMSD/mm MSD/mm 半监督3D UNet 0.935±0.032 0.955±0.045 0.921±0.049 6.458±7.041 6.740±7.681 3.493±1.596 8.476±3.617 66.090±19.594 半监督3D scSE-UNet 0.941±0.032 0.959±0.047 0.925±0.045 5.130±6.832 5.176±6.853 2.431±1.702 5.014±3.798 40.554±19.559