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Current Status of Radiomics and Deep Learning in Liver Imaging
Linda C Chu1, Seyoun Park1, Satomi Kawamoto1
1From the The Russell H. Morgan Department of Radiology and Radiological Science, The Johns Hopkins Hospital, Johns Hopkins University School of Medicine.
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.
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