Overview
- Includes supplementary material: sn.pub/extras
Part of the book series: Lecture Notes in Computer Science (LNCS, volume 10554)
Part of the book sub series: Image Processing, Computer Vision, Pattern Recognition, and Graphics (LNIP)
Included in the following conference series:
- FIFI: International Workshop on Fetal and Infant Image Analysis
- OMIA: International Workshop on Ophthalmic Medical Image Analysis
Conference proceedings info: FIFI 2017, OMIA 2017.
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About this book
This book constitutes the refereed joint proceedings of the International Workshop on Fetal and Infant Image Analysis, FIFI 2017, and the 6th International Workshop on Ophthalmic Medical Image Analysis, OMIA 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 8 full papers presented at FIFI 2017 and the 20 full papers presented at OMIA 2017 were carefully reviewed and selected. The FIFI papers feature research on advanced image analysis approaches focused on the analysis of growth and development in the fetal, infant and paediatric period. The OMIA papers cover various topics in the field of ophthalmic image analysis.
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Keywords
- architecture
- artificial intelligence
- classification
- classifiers
- computer vision
- data mining
- decision trees
- estimation
- face recognition
- image analysis
- image processing
- image segmentation
- learning systems
- medical imaging
- neural networks
- random forests
- segmentation methods
- semantics
- signal processing
- Support Vector Machines (SVM)
Table of contents (28 papers)
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International Workshop on Fetal and Infant Image Analysis, FIFI 2017
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4th International Workshop on Ophthalmic Medical Image Analysis, OMIA 2017
Other volumes
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Fetal, Infant and Ophthalmic Medical Image Analysis
Editors and Affiliations
Bibliographic Information
Book Title: Fetal, Infant and Ophthalmic Medical Image Analysis
Book Subtitle: International Workshop, FIFI 2017, and 4th International Workshop, OMIA 2017, Held in Conjunction with MICCAI 2017, Québec City, QC, Canada, September 14, Proceedings
Editors: M. Jorge Cardoso, Tal Arbel, Andrew Melbourne, Hrvoje Bogunovic, Pim Moeskops, Xinjian Chen, Ernst Schwartz, Mona Garvin, Emma Robinson, Emanuele Trucco, Michael Ebner, Yanwu Xu, Antonios Makropoulos, Adrien Desjardin, … Tom Vercauteren
Series Title: Lecture Notes in Computer Science
DOI: https://doi.org/10.1007/978-3-319-67561-9
Publisher: Springer Cham
eBook Packages: Computer Science, Computer Science (R0)
Copyright Information: Springer International Publishing AG 2017
Softcover ISBN: 978-3-319-67560-2Published: 09 September 2017
eBook ISBN: 978-3-319-67561-9Published: 06 September 2017
Series ISSN: 0302-9743
Series E-ISSN: 1611-3349
Edition Number: 1
Number of Pages: XIII, 252
Number of Illustrations: 109 b/w illustrations
Topics: Image Processing and Computer Vision, Artificial Intelligence, Health Informatics, Data Mining and Knowledge Discovery, Models and Principles, Probability and Statistics in Computer Science