Deep convolutional neural networks for automatic segmentation of left ventricle cavity from cardiac magnetic resonance images

Deep convolutional neural networks for automatic segmentation of left ventricle cavity from cardiac magnetic resonance images

This work conducts a feasibility study of deep learning approaches for automatic segmentation of left ventricle (LV) cavity from cardiac magnetic resonance (CMR) images. Automatic LV cavity segmentation is a challenging task, partially due to the small size of the object as compared to the large CMR...

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Bibliographic Details
Main Authors: Xulei Yang, Zeng Zeng, Su Yi
Format: Article
Language:English
Published: Wiley 2017-12-01
Series:IET Computer Vision
Subjects:
deep convolutional neural networks
automatic left ventricle cavity segmentation framework
cardiac magnetic resonance images
deep learning approaches
object segmentation framework
localisation-segmentation framework
Online Access:https://doi.org/10.1049/iet-cvi.2016.0482

Internet

https://doi.org/10.1049/iet-cvi.2016.0482

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