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Multi-Stream Scale-Insensitive Convolutional and Recurrent Neural Networks for Liver Tumor Detection in Dynamic CT Images

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Paper Details

Authors:
Submitted On:
18 September 2019 - 11:46pm
Short Link:
Type:
Presentation Slides
Event:
Presenter's Name:
Dong Liang
Paper Code:
1566
Document Year:
2019
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ICIP-Presentation_V2.pptx

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[1] , "Multi-Stream Scale-Insensitive Convolutional and Recurrent Neural Networks for Liver Tumor Detection in Dynamic CT Images", IEEE SigPort, 2019. [Online]. Available: http://sigport.org/4703. Accessed: Sep. 21, 2020.
@article{4703-19,
url = {http://sigport.org/4703},
author = { },
publisher = {IEEE SigPort},
title = {Multi-Stream Scale-Insensitive Convolutional and Recurrent Neural Networks for Liver Tumor Detection in Dynamic CT Images},
year = {2019} }
TY - EJOUR
T1 - Multi-Stream Scale-Insensitive Convolutional and Recurrent Neural Networks for Liver Tumor Detection in Dynamic CT Images
AU -
PY - 2019
PB - IEEE SigPort
UR - http://sigport.org/4703
ER -
. (2019). Multi-Stream Scale-Insensitive Convolutional and Recurrent Neural Networks for Liver Tumor Detection in Dynamic CT Images. IEEE SigPort. http://sigport.org/4703
, 2019. Multi-Stream Scale-Insensitive Convolutional and Recurrent Neural Networks for Liver Tumor Detection in Dynamic CT Images. Available at: http://sigport.org/4703.
. (2019). "Multi-Stream Scale-Insensitive Convolutional and Recurrent Neural Networks for Liver Tumor Detection in Dynamic CT Images." Web.
1. . Multi-Stream Scale-Insensitive Convolutional and Recurrent Neural Networks for Liver Tumor Detection in Dynamic CT Images [Internet]. IEEE SigPort; 2019. Available from : http://sigport.org/4703