Overview
- Includes supplementary material: sn.pub/extras
Part of the book series: Communications in Computer and Information Science (CCIS, volume 723)
Included in the following conference series:
Conference proceedings info: MIUA 2017.
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About this book
This book constitutes the refereed proceedings of the 21st Annual Conference on Medical Image Understanding and Analysis, MIUA 2017, held in Edinburgh, UK, in July 2017.
The 82 revised full papers presented were carefully reviewed and selected from 105 submissions. The papers are organized in topical sections on retinal imaging, ultrasound imaging, cardiovascular imaging, oncology imaging, mammography image analysis, image enhancement and alignment, modeling and segmentation of preclinical, body and histological imaging, feature detection and classification.
The chapters 'Model-Based Correction of Segmentation Errors in Digitised Histological Images' and 'Unsupervised Superpixel-Based Segmentation of Histopathological Images with Consensus Clustering' are open access under a CC BY 4.0 license.
The 82 revised full papers presented were carefully reviewed and selected from 105 submissions. The papers are organized in topical sections on retinal imaging, ultrasound imaging, cardiovascular imaging, oncology imaging, mammography image analysis, image enhancement and alignment, modeling and segmentation of preclinical, body and histological imaging, feature detection and classification.
The chapters 'Model-Based Correction of Segmentation Errors in Digitised Histological Images' and 'Unsupervised Superpixel-Based Segmentation of Histopathological Images with Consensus Clustering' are open access under a CC BY 4.0 license.
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Keywords
- algorithms
- artificial intelligence
- classification
- Computed Tomography (CT)
- computer aided diagnosis
- convolutional neural networks
- cross-validation
- deep learning
- diagnostic imaging
- digital pathology
- image coding
- image processing
- image reconstruction
- image retrieval
- image segmentation
- machine learning
- neural networks
- Support Vector Machines (SVM)
- ultrasound images
Table of contents (81 papers)
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Front Matter
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Retinal Imaging
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Front Matter
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Ultrasound Imaging
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Front Matter
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Cardiovascular Imaging
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Front Matter
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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: 21st Annual Conference, MIUA 2017, Edinburgh, UK, July 11–13, 2017, Proceedings
Editors: María Valdés Hernández, Víctor González-Castro
Series Title: Communications in Computer and Information Science
DOI: https://doi.org/10.1007/978-3-319-60964-5
Publisher: Springer Cham
eBook Packages: Computer Science, Computer Science (R0)
Copyright Information: Springer International Publishing AG 2017
Softcover ISBN: 978-3-319-60963-8Published: 23 June 2017
eBook ISBN: 978-3-319-60964-5Published: 20 June 2017
Series ISSN: 1865-0929
Series E-ISSN: 1865-0937
Edition Number: 1
Number of Pages: XIX, 950
Number of Illustrations: 421 b/w illustrations
Topics: Image Processing and Computer Vision, Artificial Intelligence, Data Mining and Knowledge Discovery, Pattern Recognition