Details

Autor(en) / Beteiligte

• International Workshops on Computing and Visualization for Intravascular Imaging and Computer Assisted Stenting
• Cardoso, M. Jorge[Herausgeber]
• Arbel, Tal[Herausgeber]
• Lee, Su-Lin[Herausgeber]
• Cheplygina, Veronika[Herausgeber]
• Balocco, Simone[Herausgeber]
• Mateus, Diana[Herausgeber]
• Zahnd, Guillaume[Herausgeber]
• Maier-Hein, Lena[Herausgeber]
• Demirci, Stefanie[Herausgeber]
• Granger, Eric[Herausgeber]
• Duong, Luc[Herausgeber]
• Carbonneau, Marc-André[Herausgeber]
• Albarqouni, Shadi[Herausgeber]
• Carneiro, Gustavo[Herausgeber]

Titel

Intravascular Imaging and Computer Assisted Stenting, and Large-Scale Annotation of Biomedical Data and Expert Label Synthesis : 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 [electronic resource]

Auflage

1st ed. 2017

Ort / Verlag

Cham : Springer International Publishing

Erscheinungsjahr

2017

Link zum Volltext

• SpringerLink Books - AutoHoldings

Beschreibungen/Notizen

• Includes bibliographical references and index.
• 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.
• Description based on publisher supplied metadata and other sources.