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Title: 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, QUEBEC CITY, QC, CANADA, SEPTEMBER 10-14, 2017, PROCEEDINGS
By: M. Jorge Cardoso (Editor), Tal Arbel (Editor), Su-Lin Lee (Editor)
Format: Paperback

List price: £44.99
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ISBN 10: 3319675338
ISBN 13: 9783319675336
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Publisher: SPRINGER INTERNATIONAL PUBLISHING AG
Pub. date: 16 October, 2017
Edition: 1st ed. 2017
Series: Lecture Notes in Computer Science 10552
Pages: 159
Synopsis: 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 Quebec 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 from numerous submissions. 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.
Illustrations: 73 Illustrations, black and white; XII, 152 p.
Publication: Switzerland
Imprint: Springer International Publishing AG
Returns: Returnable
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BAYESIAN AND GRAPHICAL MODELS FOR BIOMEDICAL IMAGING (PB)
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COMPUTER ASSISTED AND ROBOTIC ENDOSCOPY AND CLINICAL IMAGE-BASED PROCEDURES (PB)
DEEP LEARNING IN MEDICAL IMAGE ANALYSIS AND MULTIMODAL LEARNING FOR CLINICAL DECISION SUPPORT (PB)
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