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Table 5 The performance of UMLF-COVID and comparison models in four-classification tasks

From: UMLF-COVID: an unsupervised meta-learning model specifically designed to identify X-ray images of COVID-19 patients

Model Precision Recall F1-score Accuracy
UMLF-COVID 0.92 0.9 0.89 0.9
LeNet 0.72 0.71 0.69 0.71
Alexnet 0.71 0.72 0.70 0.72
VGG 0.77 0.78 0.77 0.78
CovXNet 0.88 0.88 0.88 0.88
CNN-LSTM 0.88 0.88 0.87 0.88
CNN-RNN 0.85 0.81 0.79 0.81
EMCNet 0.84 0.84 0.84 0.84
  1. The strategy of is 4-way 10-shot
  2. Bold values are highlight our model