基于卷积辅助自注意力的胸部疾病分类网络
张自然,李锵,关欣

Classification network for chest disease based on convolution-assisted self-attention
Ziran ZHANG,Qiang LI,Xin GUAN
表 7 不同损失函数对网络分类效果的影响
Tab.7 Effect of different loss function on network classification performance
损失函数平均AUC
ChestX-ray14CheXpertMIMIC-CXR
交叉熵损失函数0.8460.8890.810
焦点损失函数0.8500.8920.816
动态难度损失函数0.8530.8980.819