we proposed a novel framework that leverages radiomics features and contrastive learning to detect pneumonia in chest X-ray
An end-to-end semi-supervised cross-modal contrastive learning framework.
The shortage of radiologists and the burnout of physicians create an urgent demand for immediate solutions. In this project, we will build the open-source human-centered medical imaging diagnosis tool (called i-RadioDiagno) which…