基于多尺度通道重校准的乳腺癌病理图像分类

明涛,王丹,郭继昌,李锵

Breast cancer histopathological image classification using multi-scale channel squeeze-and-excitation model

Tao MING,Dan WANG,Ji-chang GUO,Qiang LI

表 5 msSE-ResNet34与其他网络的分类结果比较

Tab.5 Comparison of classification results of msSE-ResNet34 and other networks

模型 Acc/% AUC ResNet34[12] 86.47 0.9135 SE-ResNet34[11] 87.36 0.9097 scSE-ResNet34[27] 83.96 0.8722 msSE-ResNet34-2way 88.06 0.9308 msSE-ResNet34-3way 88.87 0.9541