Intravascular Imaging and Computer Assisted Stenting, and Large-Scale Annotation of Biomedical Data and Expert Label Synthesis

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Details

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.


Includes supplementary material: sn.pub/extras

Weitere Informationen

  • Allgemeine Informationen
    • GTIN 09783319675336
    • Herausgeber Springer
    • Anzahl Seiten 184
    • Lesemotiv Verstehen
    • Genre Software
    • Auflage 1st edition 2017
    • Editor M. Jorge Cardoso, Eric Granger, Luc Duong, Marc-André Carbonneau, Shadi Albarqouni, Gustavo Carneiro, Tal Arbel, Su-Lin Lee, Veronika Cheplygina, Simone Balocco, Diana Mateus, Guillaume Zahnd, Lena Maier-Hein, Stefanie Demirci
    • Sprache Englisch
    • Gewicht 289g
    • Untertitel 6th Joint International Workshops, CVII-STENT 2017 and Second International Workshop, LABELS 2017, Held in Conjunction with MICCAI 2017, Qubec City, QC, Canada, September 10-14, 2017, Proceedings
    • Größe H235mm x B155mm x T11mm
    • Jahr 2017
    • EAN 9783319675336
    • Format Kartonierter Einband
    • ISBN 3319675338
    • Veröffentlichung 08.09.2017
    • Titel Intravascular Imaging and Computer Assisted Stenting, and Large-Scale Annotation of Biomedical Data and Expert Label Synthesis

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