SE-Mask-RCNN：多参数MRI前列腺癌分割方法

黄毅鹏,胡冀苏,钱旭升,周志勇,赵文露,马麒,沈钧康,戴亚康

SE-Mask-RCNN: segmentation method for prostate cancer on multi-parametric MRI

Yi-peng HUANG,Ji-su HU,Xu-sheng QIAN,Zhi-yong ZHOU,Wen-lu ZHAO,Qi MA,Jun-kang SHEN,Ya-kang DAI

表 3 卷积网络SE-block去除方式性能比较

Tab.3 Performance comparison of SE-block removal methods for convolutional networks

融合方式 ADC SE-Resnet是否去掉SE-block T2W SE-Resnet是否去掉SE-block DSC 敏感度 特异度 PPV SE-特征图串联 否 否 0.654 0.695 0.970 0.685 SE-特征图串联 否 是 0.633 0.722 0.960 0.634 SE-特征图串联 是 否 0.633 0.726 0.960 0.630 SE-特征图串联 是 是 0.621 0.641 0.975 0.670