A comprehensive 3-D framework for automatic quantification of late gadolinium enhanced cardiac magnetic resonance images

A comprehensive 3-D framework for automatic quantification of late gadolinium enhanced cardiac magnetic resonance images

10.1109/TBME.2013.2237907

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Bibliographic Details
Main Authors: Wei, D., Sun, Y., Ong, S.-H., Chai, P., Teo, L.L., Low, A.F.
Other Authors: ELECTRICAL & COMPUTER ENGINEERING
Format: Article
Published: 2014
Subjects:
Cardiac MRI
classification
infarction quantification
late gadolinium enhanced (LGE)
segmentation
Online Access:http://scholarbank.nus.edu.sg/handle/10635/81853
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Institution: National University of Singapore

Internet

http://scholarbank.nus.edu.sg/handle/10635/81853

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