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

This record contains the 7768 lung masks <strong>manual annotations, implementation code, and pre-trained models</strong> 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