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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
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BMC Medical Imaging

ISSN: 1471-2342

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