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Document type:
Buchbeitrag 
Author(s):
Baur, C.; Albarqouni, S.; Demirci, S.; Navab, N.; Fallavollita, P. 
Title:
CathNets: Detection and Single-View Depth Prediction of Catheter Electrodes 
Pages contribution:
38--49 
Abstract:
The recent success of convolutional neural networks in many computer vision tasks suggests that their application could also be beneficial for vision tasks in cardiac electrophysiology procedures which are commonly carried out under guidance of C-arm fluoroscopy. Many efforts for catheter detection and reconstruction have been made, but especially realtime and robust detection of catheters in X-ray images is still not entirely solved. We propose two novel methods for i) fully automatic electroph...    »
 
Keywords:
CAMP,Catheter,CNN,MIAR,deeplearning 
Editor:
Zheng, Guoyan; Liao, Hongen; Jannin, Pierre; Cattin, Philippe; Lee, Su-Lin 
Book title:
Medical Imaging and Augmented Reality: 7th International Conference, MIAR 2016, Bern, Switzerland, August 24-26, 2016, Proceedings 
Publisher:
Springer International Publishing 
Publisher address:
Cham 
Year:
2016 
Print-ISBN:
978-3319437750