CT-based True- and False-Lumen Segmentation in Type B Aortic Dissection Using Machine Learning
Author:
Affiliation:
1. From the Departments of Radiology (L.D.H., G.M., K.H., M.K., M.J.W., A.M.S., D.F.) and Surgery (M.F.), Stanford University School of Medicine, 300 Pasteur Dr, Room S-072, Stanford, CA 94305-5105.
Publisher
Radiological Society of North America (RSNA)
Subject
Radiology, Nuclear Medicine and imaging
Link
http://pubs.rsna.org/doi/pdf/10.1148/ryct.2020190179
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1. Current evidence in predictors of aortic growth and events in acute type B aortic dissection
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4. Endovascular Repair of Type B Aortic Dissection
5. New predictor of aortic enlargement in uncomplicated type B aortic dissection based on elliptic Fourier analysis
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