Convolutional Neural Network for the Detection of End-Diastole and End-Systole Frames in Free-Breathing Cardiac Magnetic Resonance Imaging

Convolutional Neural Network for the Detection of End-Diastole and End-Systole Frames in Free-Breathing Cardiac Magnetic Resonance Imaging

Free-breathing cardiac magnetic resonance (CMR) imaging has short examination time with high reproducibility. Detection of the end-diastole and the end-systole frames of the free-breathing cardiac magnetic resonance, supplemented by visual identification, is time consuming and laborious. We propose...

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Bibliographic Details
Main Authors:	Fan Yang, Yan He, Mubashir Hussain, Hong Xie, Pinggui Lei
Format:	Article
Language:	English
Published:	Hindawi Limited 2017-01-01
Series:	Computational and Mathematical Methods in Medicine
Online Access:	http://dx.doi.org/10.1155/2017/1640835

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