Inputs：The input map of the two branches features of PET/CT and CTχil,i=1,2

Output：SAl1：

1：h1l=concat(χ1l,χ2l)/* Add the feature maps of PET/CT and CT */

2：hmean=AvgPool(h1l)/*avg-pooling*/

3：hmax=MaxPool(h1l)/*max-pooling*/

4：f=concat(hmean,hmax)/* Concatenate the feature map of avg-pooling and max-pooling */

5：β=Conv3×3(f)/*3×3 convolution operation */

6：z=σ(β)/* After sigmoid，the feature map becomes C×H×1*/

7：SAl=z×h1l+h1l /* The feature map of sigmoid is multiplied with the original feature and then add*/

End

Inputs：The input features map of the three branches of PET/CT，CT and PETχil,i=1,2,3

Output：CAl(F)

1：χhybridl=χ2l⊕χ3l /*Add the feature maps of PET and CT，χhybirdl*/

2：χl=χhybridl+χ3l /*Concatenate the feature map of χhybridl and PET/CT*/

3：hl,gl=AvgPool(χl),MaxPool(χl)/* Avg-pooling and max-pooling on the feature maps respectively */

4：α=σ(MLP(hl)+MLP(gl))/*Perform MLP operations on hl,gl separately*/

5：CAl(F)=α×χl+χl