CT-based True- and False-Lumen Segmentation in Type B Aortic Dissection Using Machine Learning-Reference-Cited by-同舟云学术

CT-based True- and False-Lumen Segmentation in Type B Aortic Dissection Using Machine Learning

Published:2020-06-01 Issue:3 Volume:2 Page:e190179
ISSN:2638-6135
Container-title:Radiology: Cardiothoracic Imaging
language:en
Short-container-title:Radiology: Cardiothoracic Imaging

Author:

Hahn Lewis D.¹^ORCID,Mistelbauer Gabriel¹^ORCID,Higashigaito Kai¹^ORCID,Koci Martin¹^ORCID,Willemink Martin J.¹^ORCID,Sailer Anna M.¹,Fischbein Michael¹,Fleischmann Dominik¹

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

Reference32 articles.

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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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