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

Saved in:
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
Tags: Add Tag
No Tags, Be the first to tag this record!
Institution: National University of Singapore
Description
Summary:10.1109/TBME.2013.2237907

Similar Items