Pstcnn: explainable covid-19 diagnosis using pso-guided self-tuning cnn

HIGHLIGHTS

• who: ( et al. from the School of Computing and Mathematical, University of Leicester, Leicester, RH, UK have published the Article: PSTCNN: Explainable COVID-19 diagnosis using PSO-guided self-tuning CNN, in the Journal: (JOURNAL)
• what: The experiments demonstrate that compared to traditional methods hyperparameter tuning of the model using an optimisation algorithm is faster and more effective. The dataset used for the study was small, so the authors introduced the 10-Fold Cross Validation to train and evaluate the model. The model was thoroughly trained and evaluated for each run to obtain performance metric . . .
  

   

  

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