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

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

M. Jorge Cardoso and Others
    • $59.99
    • $59.99

Publisher Description

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.

GENRE
Computing & Internet
RELEASED
2017
6 September
LANGUAGE
EN
English
LENGTH
182
Pages
PUBLISHER
Springer International Publishing
SELLER
Springer Nature B.V.
SIZE
4.5
MB

More Books 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

Domain Adaptation and Representation Transfer Domain Adaptation and Representation Transfer
2023
Distributed, Collaborative, and Federated Learning, and Affordable AI and Healthcare for Resource Diverse Global Health Distributed, Collaborative, and Federated Learning, and Affordable AI and Healthcare for Resource Diverse Global Health
2022
Clinical Image-Based Procedures, Distributed and Collaborative Learning, Artificial Intelligence for Combating COVID-19 and Secure and Privacy-Preserving Machine Learning Clinical Image-Based Procedures, Distributed and Collaborative Learning, Artificial Intelligence for Combating COVID-19 and Secure and Privacy-Preserving Machine Learning
2021
Domain Adaptation and Representation Transfer, and Affordable Healthcare and AI for Resource Diverse Global Health Domain Adaptation and Representation Transfer, and Affordable Healthcare and AI for Resource Diverse Global Health
2021
Domain Adaptation and Representation Transfer, and Distributed and Collaborative Learning Domain Adaptation and Representation Transfer, and Distributed and Collaborative Learning
2020
Domain Adaptation and Representation Transfer and Medical Image Learning with Less Labels and Imperfect Data Domain Adaptation and Representation Transfer and Medical Image Learning with Less Labels and Imperfect Data
2019