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 6 Dense CRF处理前、后分割性能对比

Tab.6 Comparison of segmentation performance with and without Dense CRF

Dense CRF DSC SEN PPV VOE/% RVD/% ASD/mm RMSD/mm MSD/mm 不使用 0.940±0.036 0.956±0.045 0.922±0.047 4.544±6.371 4.625±6.580 2.417±3.606 5.097±10.050 48.937±.32.456 使用 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