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Table 2 Performance Metrics for Different Models

From: Attention-enhanced architecture for improved pneumonia detection in chest X-ray images

Model

Accuracy

F1 Score

Precision

Recall

Sensitivity

Specificity

Efficient-b2

0.8872

0.9372

0.9932

0.8872

0.5264

0.8872

Resnet34

0.8944

0.9442

1

0.8944

0.495

0.8944

our improved Resnet50

0.9868

0.9825

0.9989

0.9668

0.5344

0.9668

Swin Transformer

0.8591

0.9173

0.9908

0.8541

0.5341

0.8591

Vision Transformer

0.8373

0.9055

0.9859

0.8373

0.5311

0.8373