Intravascular Imaging and Computer Assisted Stenting, and Large-Scale Annotation of Biomedical Data and Expert Label Synthesis
Intravascular Imaging and Computer Assisted Stenting, and Large-Scale Annotation of Biomedical Data and Expert Label Synthesis
Buch
- 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
- Herausgeber: M. Jorge Cardoso, Eric Granger, Luc Duong, Marc-André Carbonneau, Shadi Albarqouni, Guillaume Zahnd, Tal Arbel, Su-Lin Lee, Veronika Cheplygina, Simone Balocco, Diana Mateus, Gustavo Carneiro, Lena Maier-Hein, Stefanie Demirci
- Springer International Publishing, 09/2017
- Einband: Kartoniert / Broschiert, Paperback
- Sprache: Englisch
- ISBN-13: 9783319675336
- Bestellnummer: 7718443
- Umfang: 184 Seiten
- Nummer der Auflage: 17001
- Auflage: 1st ed. 2017
- Gewicht: 314 g
- Maße: 236 x 159 mm
- Stärke: 15 mm
- Erscheinungstermin: 8.9.2017
- Serie: Image Processing, Computer Vision, Pattern Recognition, and Graphics - Band 10552
Achtung: Artikel ist nicht in deutscher Sprache!
Klappentext
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.