Overview
Part of the book series: Lecture Notes in Computer Science (LNCS, volume 12643)
Part of the book sub series: Image Processing, Computer Vision, Pattern Recognition, and Graphics (LNIP)
Included in the following conference series:
Conference proceedings info: CADA 2020.
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Table of contents (12 papers)
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Overview of the CADA Challenge at MICCAI 2020
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Introduction
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Cerebral Aneurysm Detection
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Cerebral Aneurysm Rupture Risk Estimation
Other volumes
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Cerebral Aneurysm Detection and Analysis
Keywords
- 3D imaging
- artificial intelligence
- computer graphics
- computer systems
- computer vision
- deep learning
- detection algorithm
- image processing
- image segmentation
- machine learning
- modeling and simulation
- neural networks
- segmentation methods
- shape representation
- signal detection
- signal processing
- simulation types and techniques
About this book
This book constitutes the First Cerebral Aneurysm Detection Challenge, CADA 2020, which was held in conjunction with the 23rd International Conference on Medical Image Computing and Computer-Assisted Intervention, MICCAI 2020, in October 2020. The conference was planned to take place in Lima, Peru, and took place virtually due to the COVID-19 pandemic.
The 9 regular papers presented in this volume, together with an overview and one introduction paper, were carefully reviewed and selected for inclusion in the book. The papers were organized in topical sections as follows: cerebral aneurysm detection; cerebral aneurysm segmentation; and cerebral aneurysm rupture risk estimation.Editors and Affiliations
Bibliographic Information
Book Title: Cerebral Aneurysm Detection and Analysis
Book Subtitle: First Challenge, CADA 2020, Held in Conjunction with MICCAI 2020, Lima, Peru, October 8, 2020, Proceedings
Editors: Anja Hennemuth, Leonid Goubergrits, Matthias Ivantsits, Jan-Martin Kuhnigk
Series Title: Lecture Notes in Computer Science
DOI: https://doi.org/10.1007/978-3-030-72862-5
Publisher: Springer Cham
eBook Packages: Computer Science, Computer Science (R0)
Copyright Information: Springer Nature Switzerland AG 2021
Softcover ISBN: 978-3-030-72861-8Published: 16 April 2021
eBook ISBN: 978-3-030-72862-5Published: 15 April 2021
Series ISSN: 0302-9743
Series E-ISSN: 1611-3349
Edition Number: 1
Number of Pages: X, 113
Number of Illustrations: 6 b/w illustrations, 41 illustrations in colour
Topics: Computer Imaging, Vision, Pattern Recognition and Graphics, Computer Applications, Machine Learning, Mathematics of Computing