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Table 8 The performance of UMLF-COVID and comparison models in three-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

0.94

0.93

0.93

0.93

LeNet

0.87

0.81

0.82

0.81

Alexnet

0.9

0.89

0.88

0.89

VGG

0.83

0.72

0.72

0.72

CovXNet

0.83

0.79

0.80

0.79

CNN-LSTM

0.9

0.9

0.9

0.9

CNN-RNN

0.89

0.89

0.89

0.89

EMCNet

0.89

0.89

0.89

0.89

  1. The strategy is 3-way 10-shot
  2. Bold values are highlight our model
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BMC Medical Imaging

ISSN: 1471-2342

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