Enhancing Chest CT Image Understanding by Distilling Knowledge from Extensive X-ray Expert Models

The core message of this paper is to enhance the understanding of 3D chest CT images by distilling knowledge from a pre-trained 2D chest X-ray expert model, leveraging language as a high-quality supervision signal to address the limited availability of paired CT-report data.