Current Status of Radiomics and Deep Learning in Liver Imaging
Linda C. Chu, Seyoun Park, Satomi Kawamoto, Alan Yuille, Ralph H. Hruban, Elliot K. Fishman
Abstract
ABSTRACT: Artificial intelligence is poised to revolutionize medical image. It takes advantage of the high-dimensional quantitative features present in medical images that may not be fully appreciated by humans. Artificial intelligence has the potential to facilitate automatic organ segmentation, disease detection and characterization, and prediction of disease recurrence. This article reviews the current status of artificial intelligence in liver imaging and reviews the opportunities and challenges in clinical implementation.
Topics & Concepts
MedicineRadiomicsArtificial intelligenceMedical imagingSegmentationDeep learningRadiologyMedical physicsComputer scienceRadiomics and Machine Learning in Medical ImagingAdvanced X-ray and CT ImagingHepatocellular Carcinoma Treatment and Prognosis