Deep Learning Models for Abdominal CT Organ Segmentation in Children: Development and Validation in Internal and Heterogeneous Public Datasets
Elanchezhian Somasundaram, Zachary L. Taylor, Vinicius de Padua V. Alves, Lisa Qiu, Benjamin L. Fortson, Neeraja Mahalingam, Jonathan A. Dudley, Hailong Li, Samuel L. Brady, Andrew T. Trout, Jonathan R. Dillman
Abstract
Background: Deep-learning abdominal organ segmentation algorithms have shown excellent results in adults; validation in children is sparse.
Topics & Concepts
MedicineSegmentationRadiologyArtificial intelligenceMedical physicsComputer scienceRadiomics and Machine Learning in Medical ImagingAdvanced X-ray and CT ImagingMedical Imaging Techniques and Applications