Automated Deep Learning Artificial Intelligence Tool for Spleen Segmentation on CT: Defining Volume-Based Thresholds for Splenomegaly
Alberto A. Perez, Victoria Noe-Kim, Meghan G. Lubner, David Somsen, John W. Garrett, Ronald M. Summers, Perry J. Pickhardt
Abstract
BACKGROUND. Splenomegaly historically has been assessed on imaging by use of potentially inaccurate linear measurements. Prior work tested a deep learning artificial intelligence (AI) tool that automatically segments the spleen to determine splenic volume.
Topics & Concepts
MedicinePopulationRadiologyRetrospective cohort studyArtificial intelligenceSpleenNuclear medicineSurgeryInternal medicineComputer scienceEnvironmental healthAbdominal Trauma and InjuriesLiver Disease and TransplantationHepatocellular Carcinoma Treatment and Prognosis