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 2 4种mp-MRI信息融合方式对比

Tab.2 Comparison of four methods of mp-MRI information fusion

融合方式 卷积网络 DSC 敏感度 特异度 PPV 输入图像串联（Mask-RCNN） Resnet50 0.612 0.653 0.968 0.650 特征图相加 Resnet50 0.611 0.667 0.966 0.643 特征图串联 Resnet50 0.609 0.645 0.968 0.659 SE-特征图串联 Resnet50 0.630 0.676 0.970 0.663 输入图像串联 SE-Resnet 0.637 0.660 0.970 0.685 特征图相加 SE-Resnet 0.638 0.684 0.970 0.658 特征图串联 SE-Resnet 0.640 0.697 0.967 0.652 SE-特征图串联（SE-Mask-RCNN） SE-Resnet 0.654 0.695 0.970 0.685