Data-driven Model Adaptation Enhances Lesion Segmentation

In this study, we present ULS+, an enhanced version of the universal lesion segmentation (ULS) model. The original ULS model segments lesions across the whole body in CT scans given volumes of interest (VOIs) centered around a click-point. Since its release, several new public datasets have become available that can further improve model performance. ULS+ incorporates these additional datasets and uses smaller input image sizes, resulting in higher accuracy and faster inference.