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171005 ||| eng |
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|a 9783319675343
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| 100 |
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|a Cardoso, M. Jorge
|e [editor]
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| 245 |
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|a Intravascular Imaging and Computer Assisted Stenting, and Large-Scale Annotation of Biomedical Data and Expert Label Synthesis
|h Elektronische Ressource
|b 6th Joint International Workshops, CVII-STENT 2017 and Second International Workshop, LABELS 2017, Held in Conjunction with MICCAI 2017, Québec City, QC, Canada, September 10–14, 2017, Proceedings
|c edited by M. Jorge Cardoso, Tal Arbel, Su-Lin Lee, Veronika Cheplygina, Simone Balocco, Diana Mateus, Guillaume Zahnd, Lena Maier-Hein, Stefanie Demirci, Eric Granger, Luc Duong, Marc-André Carbonneau, Shadi Albarqouni, Gustavo Carneiro
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| 250 |
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|a 1st ed. 2017
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| 260 |
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|a Cham
|b Springer International Publishing
|c 2017, 2017
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| 300 |
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|a XVI, 166 p. 73 illus
|b online resource
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| 653 |
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|a Health Informatics
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| 653 |
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|a Computer vision
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| 653 |
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|a Medical informatics
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| 653 |
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|a Artificial Intelligence
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| 653 |
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|a Computer Vision
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| 653 |
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|a Computer networks
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| 653 |
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|a Computer Engineering and Networks
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| 653 |
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|a Artificial intelligence
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| 653 |
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|a Computer engineering
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| 700 |
1 |
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|a Arbel, Tal
|e [editor]
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| 700 |
1 |
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|a Lee, Su-Lin
|e [editor]
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| 700 |
1 |
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|a Cheplygina, Veronika
|e [editor]
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| 041 |
0 |
7 |
|a eng
|2 ISO 639-2
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| 989 |
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|b Springer
|a Springer eBooks 2005-
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| 490 |
0 |
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|a Image Processing, Computer Vision, Pattern Recognition, and Graphics
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| 028 |
5 |
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|a 10.1007/978-3-319-67534-3
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| 856 |
4 |
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|u https://doi.org/10.1007/978-3-319-67534-3?nosfx=y
|x Verlag
|3 Volltext
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| 082 |
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|a 006.37
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| 520 |
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|a This book constitutes the refereed joint proceedings of the 6th Joint International Workshop on Computing and Visualization for Intravascular Imaging and Computer Assisted Stenting, CVII-STENT 2017, and the Second International Workshop on Large-Scale Annotation of Biomedical Data and Expert Label Synthesis, LABELS 2017, held in conjunction with the 20th International Conference on Medical Imaging and Computer-Assisted Intervention, MICCAI 2017, in Québec City, QC, Canada, in September 2017. The 6 full papers presented at CVII-STENT 2017 and the 11 full papers presented at LABELS 2017 were carefully reviewed and selected. The CVII-STENT papers feature the state of the art in imaging, treatment, and computer-assisted intervention in the field of endovascular interventions. The LABELS papers present a variety of approaches for dealing with few labels, from transfer learning to crowdsourcing
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