Editors:
Part of the book series: Communications in Computer and Information Science (CCIS, volume 1248)
Conference series link(s): MIUA: Annual Conference on Medical Image Understanding and Analysis
Conference proceedings info: MIUA 2020.
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Table of contents (34 papers)
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Front Matter
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Image Segmentation
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Front Matter
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Image registration, reconstruction and enhancement
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Front Matter
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About this book
The 29 full papers and 5 short papers presented were carefully reviewed and selected from 70 submissions. They were organized according to following topical sections: image segmentation; image registration, reconstruction and enhancement; radiomics, predictive models, and quantitative imaging biomarkers; ocular imaging analysis; biomedical simulation and modelling.
Keywords
- artificial intelligence
- bioinformatics
- color image processing
- color images
- computer systems
- computer vision
- deep learning
- image analysis
- image enhancement
- image matching
- image processing
- image quality
- image segmentation
- machine learning
- medical images
- neural networks
- pattern recognition
- reference image
Editors and Affiliations
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University of Oxford, Oxford, UK
Bartłomiej W. Papież, Ana I. L. Namburete, Mohammad Yaqub, J. Alison Noble
Bibliographic Information
Book Title: Medical Image Understanding and Analysis
Book Subtitle: 24th Annual Conference, MIUA 2020, Oxford, UK, July 15-17, 2020, Proceedings
Editors: Bartłomiej W. Papież, Ana I. L. Namburete, Mohammad Yaqub, J. Alison Noble
Series Title: Communications in Computer and Information Science
DOI: https://doi.org/10.1007/978-3-030-52791-4
Publisher: Springer Cham
eBook Packages: Computer Science, Computer Science (R0)
Copyright Information: Springer Nature Switzerland AG 2020
Softcover ISBN: 978-3-030-52790-7Published: 08 July 2020
eBook ISBN: 978-3-030-52791-4Published: 08 July 2020
Series ISSN: 1865-0929
Series E-ISSN: 1865-0937
Edition Number: 1
Number of Pages: XIV, 448
Number of Illustrations: 28 b/w illustrations, 171 illustrations in colour
Topics: Image Processing and Computer Vision, Machine Learning, Computer Applications, Pattern Recognition, Information Systems and Communication Service, Computers and Education