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 4 位置编码生成方式对网络分类效果的影响
Tab.4 Effect of position encoding application method on network classification performance
生成方式平均AUC
ChestX-ray14CheXpertMIMIC-CXR
偏置0.8490.8900.813
与输入k交互0.8530.8980.819
与输入qk交互0.8500.8940.816