Automatic Segmentation of the Left Ventricle From Cardiac MRI Using Deep Learning and Double Snake Model

Automatic Segmentation of the Left Ventricle From Cardiac MRI Using Deep Learning and Double Snake Model

The left ventricle segmentation (LVS) is of great important for the evaluation of cardiac function. This study aimed to establish new segmentation algorithms that can enhance the accuracy and robustness of automatic LVS on magnetic resonance images. The datasets involved 45 subjects, including 12 he...

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Bibliographic Details
Main Authors: Yihua Lan, Renchao Jin
Format: Article
Language:English
Published: IEEE 2019-01-01
Series:IEEE Access
Subjects:
Convolutional neural network
snake model
left ventricle segmentation
magnetic resonance imaging
cardiac functional analysis
Online Access:https://ieeexplore.ieee.org/document/8825781/

Internet

https://ieeexplore.ieee.org/document/8825781/

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