nodule detection

Automatically detects and segments lung nodules in CT images, helping providers to efficiently and accurately identify potentially significant findings^1,2,3

nodule quantification

Automatically quantifies and localizes lung nodules in Lung CT images to help providers make efficient, consistent, and accurate assessments^1,2,3

nodule characterization

Enables characterization of solid & part-solid pulmonary parenchymal nodules on low-dose chest CT images on high-risk patients eligible for participation in lung cancer screening programs in order to aid cancer diagnosis and improve clinical management of patients³

nodule tracking

Automatically tracks changes in lung nodules across exams over time with tabular and graphical results for deeper insights into disease progression^1,2

nodule reporting

Automatically builds standardized reporting that summarizes findings and relevant information, including scoring recommendations, for easy interpretation¹

Highlights probably benign, suspicious and very suspicious nodules and scores them individually by giving a malignancy score and an associated malignancy rate observed in the reference population³