UI Researchers create new model to detect COVID’s effects using chest X-rays
In a new study, researchers at the University of Iowa have developed what is called a contrastive learning model. This model “learns” from composite 2D images constructed from 3D CT images to detect compromised lung function in long-COVID patients. Another technique, called transfer learning, then conveys lung diagnostic information from a CT scan to a chest X-ray, thus allowing chest X-ray equipment to detect abnormalities the same as if those patients had used a CT scan.
