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 2 msSE-ResNet18与其他网络的分类结果比较

Tab.2 Comparison of classification results of msSE-ResNet18 and other networks

模型 Acc/% AUC ResNet18[12] 84.53 0.8878 SE-ResNet18[11] 83.56 0.8791 scSE-ResNet18[27] 83.90 0.8677 msSE-ResNet18-2way 86.81 0.9266 msSE-ResNet18-3way 86.00 0.9107