Fully automated segmentation of left ventricular scar from 3D late gadolinium enhancement magnetic resonance imaging using a cascaded multi‐planar U‐Net (CMPU‐Net)-Reference-Cited by-同舟云学术

Fully automated segmentation of left ventricular scar from 3D late gadolinium enhancement magnetic resonance imaging using a cascaded multi‐planar U‐Net (CMPU‐Net)

Published:2020-02-10 Issue:4 Volume:47 Page:1645-1655
ISSN:0094-2405
Container-title:Medical Physics
language:en
Short-container-title:Med. Phys.

Author:

Zabihollahy Fatemeh¹,Rajchl Martin²,White James A.³,Ukwatta Eranga⁴

Affiliation:

1. Department of Systems and Computer Engineering Carleton University Ottawa ON Canada

2. Department of Computing and Medicine Imperial College London London ON Canada

3. Libin Cardiovascular Institute of Alberta University of Calgary Calgary AB Canada

4. School of Engineering University of Guelph Guelph ON Canada

Funder

Natural Sciences and Engineering Research Council of Canada

Publisher

Wiley

Subject

General Medicine

Link

https://onlinelibrary.wiley.com/doi/pdf/10.1002/mp.14022

Reference48 articles.

1. Global Scourge of Cardiovascular Disease

2. 1990-2010 Global Cardiovascular Disease Atlas

3. Infarct Tissue Heterogeneity by Magnetic Resonance Imaging Identifies Enhanced Cardiac Arrhythmia Susceptibility in Patients With Left Ventricular Dysfunction

4. Infarct morphology identifies patients with substrate for sustained ventricular tachycardia

5. Relationship of MRI Delayed Contrast Enhancement to Irreversible Injury, Infarct Age, and Contractile Function

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