基于Dense-UNet++的关节滑膜磁共振图像分割 |
王振宇,王颖珊,毛瑾玲,马伟伟,路青,石洁,汪红志 |
Magnetic Resonance Images Segmentation of Synovium Based on Dense-UNet++ |
Zhen-yu WANG,Ying-shan WANG,Jin-ling MAO,Wei-wei MA,Qing LU,Jie SHI,Hong-zhi WANG |
图5 应用于相同滑膜磁共振图像数据集时,不同网络结构的DSC曲线.(a) Dense-UNet++,使用ReLu激活函数;(b) ResUNet,使用ReLu激活函数;(c) VGG-UNet++,使用Relu激活函数;(d) Dense-UNet++,使用Swish激活函数 |
Fig.5 DSC curves of different networks applied in the same synovial magnetic resonance data set. (a) Dense-UNet++ with ReLu; (b) ResUNet with ReLu; (c) VGG-UNet++ with ReLu; (d) Dense-UNet++ with Swish |