Overview
Part of the book series: Lecture Notes in Computer Science (LNCS, volume 12722)
Part of the book sub series: Image Processing, Computer Vision, Pattern Recognition, and Graphics (LNIP)
Included in the following conference series:
Conference proceedings info: MIUA 2021.
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About this book
The 32 full papers and 8 short papers presented were carefully reviewed and selected from 77 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.
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Keywords
- artificial intelligence
- bioinformatics
- computer science
- computer systems
- computer vision
- deep learning
- education
- engineering
- image analysis
- image matching
- image processing
- image quality
- image reconstruction
- image segmentation
- learning
- machine learning
- mathematics
- medical images
- neural networks
- pattern recognition
Table of contents (40 papers)
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Biomarker Detection
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Image Registration, and Reconstruction
Other volumes
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Medical Image Understanding and Analysis
Editors and Affiliations
Bibliographic Information
Book Title: Medical Image Understanding and Analysis
Book Subtitle: 25th Annual Conference, MIUA 2021, Oxford, United Kingdom, July 12–14, 2021, Proceedings
Editors: Bartłomiej W. Papież, Mohammad Yaqub, Jianbo Jiao, Ana I. L. Namburete, J. Alison Noble
Series Title: Lecture Notes in Computer Science
DOI: https://doi.org/10.1007/978-3-030-80432-9
Publisher: Springer Cham
eBook Packages: Computer Science, Computer Science (R0)
Copyright Information: Springer Nature Switzerland AG 2021
Softcover ISBN: 978-3-030-80431-2Published: 06 July 2021
eBook ISBN: 978-3-030-80432-9Published: 06 July 2021
Series ISSN: 0302-9743
Series E-ISSN: 1611-3349
Edition Number: 1
Number of Pages: XV, 561
Number of Illustrations: 31 b/w illustrations, 207 illustrations in colour
Topics: Image Processing and Computer Vision, Machine Learning, Computer Appl. in Social and Behavioral Sciences, Computers and Education, Computational Biology/Bioinformatics, Pattern Recognition