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Table 9 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

0.91

0.9

0.9

0.9

LeNet

0.77

0.77

0.77

0.77

Alexnet

0.78

0.78

0.78

0.78

VGG

0.74

0.73

0.68

0.73

CovXNet

0.74

0.73

0.72

0.73

CNN-LSTM

0.8

0.8

0.8

0.8

CNN-RNN

0.79

0.79

0.79

0.79

EMCNet

0.83

0.79

0.81

0.8

  1. The strategy 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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