Auto-classification of Respiratory Trace Using Convolutional Neural Network for Adaptive Respiratory Gated Myocardial Perfusion SPECT

Residential College	false
Status	已發表Published
	Auto-classification of Respiratory Trace Using Convolutional Neural Network for Adaptive Respiratory Gated Myocardial Perfusion SPECT
	Mo SP(莫昇萍)1 ; Zhang Q1 ; Sun JZ1 ; Zhang D1 ; Pretorius PH 2; King MA 2
	2019-10
Conference Name	2019 IEEE Nuclear Science Symposium and Medical Imaging Conference
Conference Date	26/10/2019-02/11/2019
Conference Place	Manchester
Country	UK
Document Type	Conference paper
Collection	DEPARTMENT OF ELECTRICAL AND COMPUTER ENGINEERING
Affiliation	1.University of Macau 2.UMASS Medical School
First Author Affilication	University of Macau
Recommended Citation GB/T 7714	Mo SP,Zhang Q,Sun JZ,et al. Auto-classification of Respiratory Trace Using Convolutional Neural Network for Adaptive Respiratory Gated Myocardial Perfusion SPECT[C], 2019.
APA	Mo SP., Zhang Q., Sun JZ., Zhang D., Pretorius PH., & King MA (2019). Auto-classification of Respiratory Trace Using Convolutional Neural Network for Adaptive Respiratory Gated Myocardial Perfusion SPECT. .

Files in This Item:
There are no files associated with this item.

Related Services

Bookmark

Google Scholar

Similar articles in Bing Scholar

Terms of Use

No data!

Social Bookmark/Share

All comments (0)

No comment.

The comment function is only available to registered usersLog In

If you have any objections to this item, please fill out the form below and the administrator will contact you as soon as possible.
Content:
Email：	*
Affiliation No.
Verification Code:	Refresh

Any comments and suggestions are welcomed.
Title:	*
Content:
Email：	*
Verification Code:	Refresh