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AN IMAGE RECONSTRUCTION FRAMEWORK BASED ON DEEP NEURAL NETWORK FOR ELECTRICAL IMPEDANCE TOMOGRAPHY

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Paper Details

Authors:
Xiuyan Li, Yang Lu,Jianming Wang,Xin Dang,Qi Wang,Xiaojie Duan,Yukuan Sun
Submitted On:
15 September 2017 - 12:21am
Short Link:
Type:
Poster
Event:
Presenter's Name:
Xiuyan Li
Paper Code:
3030
Document Year:
2017
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Document Files

Poster for paper 3030-ICIP2017.pdf

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[1] Xiuyan Li, Yang Lu,Jianming Wang,Xin Dang,Qi Wang,Xiaojie Duan,Yukuan Sun, "AN IMAGE RECONSTRUCTION FRAMEWORK BASED ON DEEP NEURAL NETWORK FOR ELECTRICAL IMPEDANCE TOMOGRAPHY", IEEE SigPort, 2017. [Online]. Available: http://sigport.org/2078. Accessed: Oct. 21, 2017.
@article{2078-17,
url = {http://sigport.org/2078},
author = {Xiuyan Li; Yang Lu,Jianming Wang,Xin Dang,Qi Wang,Xiaojie Duan,Yukuan Sun },
publisher = {IEEE SigPort},
title = {AN IMAGE RECONSTRUCTION FRAMEWORK BASED ON DEEP NEURAL NETWORK FOR ELECTRICAL IMPEDANCE TOMOGRAPHY},
year = {2017} }
TY - EJOUR
T1 - AN IMAGE RECONSTRUCTION FRAMEWORK BASED ON DEEP NEURAL NETWORK FOR ELECTRICAL IMPEDANCE TOMOGRAPHY
AU - Xiuyan Li; Yang Lu,Jianming Wang,Xin Dang,Qi Wang,Xiaojie Duan,Yukuan Sun
PY - 2017
PB - IEEE SigPort
UR - http://sigport.org/2078
ER -
Xiuyan Li, Yang Lu,Jianming Wang,Xin Dang,Qi Wang,Xiaojie Duan,Yukuan Sun. (2017). AN IMAGE RECONSTRUCTION FRAMEWORK BASED ON DEEP NEURAL NETWORK FOR ELECTRICAL IMPEDANCE TOMOGRAPHY. IEEE SigPort. http://sigport.org/2078
Xiuyan Li, Yang Lu,Jianming Wang,Xin Dang,Qi Wang,Xiaojie Duan,Yukuan Sun, 2017. AN IMAGE RECONSTRUCTION FRAMEWORK BASED ON DEEP NEURAL NETWORK FOR ELECTRICAL IMPEDANCE TOMOGRAPHY. Available at: http://sigport.org/2078.
Xiuyan Li, Yang Lu,Jianming Wang,Xin Dang,Qi Wang,Xiaojie Duan,Yukuan Sun. (2017). "AN IMAGE RECONSTRUCTION FRAMEWORK BASED ON DEEP NEURAL NETWORK FOR ELECTRICAL IMPEDANCE TOMOGRAPHY." Web.
1. Xiuyan Li, Yang Lu,Jianming Wang,Xin Dang,Qi Wang,Xiaojie Duan,Yukuan Sun. AN IMAGE RECONSTRUCTION FRAMEWORK BASED ON DEEP NEURAL NETWORK FOR ELECTRICAL IMPEDANCE TOMOGRAPHY [Internet]. IEEE SigPort; 2017. Available from : http://sigport.org/2078