A research team from Leipzig University, the Max Planck Institute and Heidelberg University, all in Germany, devised a new segmentation algorithm for stroke lesions that improves upon previous methods. They used machine-learning models to effect CT image segmentation in the early stages of acute stroke. The research team published their findings on the fully convolutional graph network in July in the Journal of Medical Imaging.