Supervised Learning Modelization and Segmentation of Cardiac Scar in Delayed Enhanced MRI-Reference-Cited by-同舟云学术

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Supervised Learning Modelization and Segmentation of Cardiac Scar in Delayed Enhanced MRI

Published:2013 Issue: Volume: Page:53-61
ISSN:0302-9743
Container-title:Statistical Atlases and Computational Models of the Heart. Imaging and Modelling Challenges
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Author:

Lara Laura,Vera Sergio,Perez Frederic,Lanconelli Nico,Morisi Rita,Donini Bruno,Turco Dario,Corsi Cristiana,Lamberti Claudio,Gavidia Giovana,Bordone Maurizio,Soudah Eduardo,Curzen Nick,Rosengarten James,Morgan John,Herrero Javier,González Ballester Miguel A.

Publisher

Springer Berlin Heidelberg

Link

http://link.springer.com/content/pdf/10.1007/978-3-642-36961-2_7

Reference11 articles.

1. Amado, L.C., Gerber, B.L., Gupta, S.N., Rettmann, D.W., Szarf, G., Schock, R., Nasir, K., Kraitchman, D.L., Lima, J.A.: Accurate and objective infarct sizing by contrast-enhanced magnetic resonance imaging in a canine myocardial infarction model. Journal of the American College of Cardiology 44(12), 2383–2389 (2004)

2. Bankman, I.: Handbook of Medical Imaging, Processing and Analysis. Academic Press (2000)

3. Chan, T.F., Vese, L.A.: Active contours without edges. IEEE Transactions on Image Processing 10(2), 266–277 (2001)

4. Lecture Notes in Computer Science;C. Ciofolo,2008

5. Kolipaka, A., Chatzimavroudis, G.P., White, R.D., O’Donnell, T.P., Setser, R.M.: Segmentation of non-viable myocardium in delayed enhancement magnetic resonance images. The International Journal of Cardiovascular Imaging (formerly Cardiac Imaging) 21, 303–311 (2005)

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