Published March 16, 2022 | Version v3
Dataset Open

Dataset & Code related to article 'Bilateral Adaptive Graph Convolutional Network on CT based COVID-19 Diagnosis with Uncertainty-Aware Consensus-Assisted Multiple Instance Learning'

  • 1. University of Liverpool
  • 2. Alces Flight Limited
  • 3. Amazon Web Services
  • 4. Hubei University of Chinese Medicine
  • 5. Chinese Academy of Science

Description

This record contains the 7768 lung masks manual annotations, implementation code, and pre-trained models related to the article 'Bilateral Adaptive Graph Convolutional Network on CT based COVID-19 Diagnosis with Uncertainty-Aware Consensus-Assisted Multiple Instance Learning'

Also we include the visualised, selected top D reliable CT slices for all COVID-19 patients in the test dataset for better understanding. 

For the detailed usage of the data and code, please refer to https://github.com/smallmax00/BAGCN-Covid19

 

Files

code_data_pre-trained-models.zip

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