Editors:
Part of the book series: Lecture Notes in Computer Science (LNCS, volume 13413)
Conference series link(s): MIUA: Annual Conference on Medical Image Understanding and Analysis
Conference proceedings info: MIUA 2022.
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Table of contents (66 papers)
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Front Matter
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Biomarker Detection
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Front Matter
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Novel Imaging, Image Registration and Reconstruction
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Front Matter
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Image Interpretation
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Front Matter
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About this book
This book constitutes the refereed proceedings of the 26th Conference on Medical Image Understanding and Analysis, MIUA 2022, held in Cambridge, UK, in July 2022.
The 65 full papers presented were carefully reviewed and selected from 95 submissions. They were organized according to following topical sections: biomarker detection; image registration, and reconstruction; image segmentation; generative models, biomedical simulation and modelling; classification; image enhancement, quality assessment, and data privacy; radiomics, predictive models, and quantitative imaging.
Chapter “FCN-Transformer Feature Fusion for Polyp Segmentation” is available open access under a Creative Commons Attribution 4.0 International License via link.springer.com.
Keywords
- artificial intelligence
- classification methods
- color image processing
- computer networks
- computer systems
- computer vision
- deep learning
- image analysis
- image matching
- image processing
- image quality
- image reconstruction
- image segmentation
- imaging systems
- machine learning
- medical images
- neural networks
- pattern recognition
- reference image
Editors and Affiliations
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Imperial College London, London, UK
Guang Yang
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University of Cambridge, Cambridge, UK
Angelica Aviles-Rivero, Michael Roberts, Carola-Bibiane Schönlieb
Bibliographic Information
Book Title: Medical Image Understanding and Analysis
Book Subtitle: 26th Annual Conference, MIUA 2022, Cambridge, UK, July 27–29, 2022, Proceedings
Editors: Guang Yang, Angelica Aviles-Rivero, Michael Roberts, Carola-Bibiane Schönlieb
Series Title: Lecture Notes in Computer Science
DOI: https://doi.org/10.1007/978-3-031-12053-4
Publisher: Springer Cham
eBook Packages: Computer Science, Computer Science (R0)
Copyright Information: The Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Switzerland AG 2022
Softcover ISBN: 978-3-031-12052-7Published: 26 July 2022
eBook ISBN: 978-3-031-12053-4Published: 25 July 2022
Series ISSN: 0302-9743
Series E-ISSN: 1611-3349
Edition Number: 1
Number of Pages: XVII, 911
Number of Illustrations: 138 b/w illustrations, 309 illustrations in colour
Topics: Image Processing and Computer Vision, Artificial Intelligence, Computing Milieux, Computer Applications