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Computational and Mathematical Methods in Medicine
Volume 2017 (2017), Article ID 1640835, 10 pages
https://doi.org/10.1155/2017/1640835
Research Article

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

1School of Biology & Engineering, Guizhou Medical University, Guiyang, Guizhou Province, China
2State Key Laboratory of Bioelectronics, School of Biological Science and Medical Engineering, Southeast University, Nanjing, Jiangsu Province, China
3Department of Medical Imaging, The Affiliated Hospital of Guizhou Medical University, Guiyang, Guizhou Province, China

Correspondence should be addressed to Yan He

Received 13 March 2017; Revised 18 May 2017; Accepted 20 June 2017; Published 26 July 2017

Academic Editor: Michele Migliore

Copyright © 2017 Fan Yang et al. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

How to Cite this Article

Fan Yang, Yan He, Mubashir Hussain, Hong Xie, and Pinggui Lei, “Convolutional Neural Network for the Detection of End-Diastole and End-Systole Frames in Free-Breathing Cardiac Magnetic Resonance Imaging,” Computational and Mathematical Methods in Medicine, vol. 2017, Article ID 1640835, 10 pages, 2017. doi:10.1155/2017/1640835