Research Article

DAFLNet: Dual Asymmetric Feature Learning Network for COVID-19 Disease Diagnosis in X-Rays

Algorithm 1

Proposed PNSA for weight selection.
Step 1 Input: Obtain the EfficientNetV2, DenseNet and fusion features from .
Step 2 For
  Step 3 Obtain the losses of
  Step 4 Obtain the losses of
  Step 5 Obtain the losses of
  Step 6 Calculate the loss using Eq. (5)
 End
Step 7 Generate and sort the indicator vector
Step 8 Obtain the minimum loss
Step 9 Obtain the weight of the smallest loss.