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 5 scSE-block+改进前、后性能对比

Tab.5 Performance comparison of scSE-block and scSE-block+

方法 DSC SEN PPV VOE/% RVD/% ASD/mm RMSD/mm MSD/mm scSE-block 0.939±0.030 0.951±0.044 0.928±0.049 5.464±6.775 5.583±7.124 2.535±1.693 5.162±3.824 40.689±18.774 scSE-block+ 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