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'
Creators
- 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