Overview
- Includes supplementary material: sn.pub/extras
Part of the book series: Lecture Notes in Computer Science (LNCS, volume 9467)
Part of the book sub series: Image Processing, Computer Vision, Pattern Recognition, and Graphics (LNIP)
Included in the following conference series:
Conference proceedings info: Patch-MI 2015.
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About this book
This book constitutes the thoroughly refereed post-workshop proceedings of the First International Workshop on Patch-based Techniques in Medical Images, Patch-MI 2015, which was held in conjunction with MICCAI 2015, in Munich, Germany, in October 2015.
The 25 full papers presented in this volume were carefully reviewed and selected from 35 submissions. The topics covered are such as image segmentation of anatomical structures or lesions; image enhancement; computer-aided prognostic and diagnostic; multi-modality fusion; mono and multi modal image synthesis; image retrieval; dynamic, functional physiologic and anatomic imaging; super-pixel/voxel in medical image analysis; sparse dictionary learning and sparse coding; analysis of 2D, 2D+t, 3D, 3D+t, 4D, and 4D+t data.
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Keywords
- Image enhancement
- Image segmentation
- Multi-modality fusion
- Neural network
- Sparse representation
- Cell orientation
- Convolutional neural networks
- Dictionary learning
- Generative model
- Histology image analysis
- Image denoising
- Image registration
- Image retrieve
- Image synthesis
- Linear regression
- MRI
- Patch-based segmentation
- Random forest
- Rough set theory
- Super pixel
Table of contents (25 papers)
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Front Matter
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Patch-Based Techniques in Medical Imaging
Editors and Affiliations
Bibliographic Information
Book Title: Patch-Based Techniques in Medical Imaging
Book Subtitle: First International Workshop, Patch-MI 2015, Held in Conjunction with MICCAI 2015, Munich, Germany, October 9, 2015, Revised Selected Papers
Editors: Guorong Wu, Pierrick Coupé, Yiqiang Zhan, Brent Munsell, Daniel Rueckert
Series Title: Lecture Notes in Computer Science
DOI: https://doi.org/10.1007/978-3-319-28194-0
Publisher: Springer Cham
eBook Packages: Computer Science, Computer Science (R0)
Copyright Information: Springer International Publishing Switzerland 2015
Softcover ISBN: 978-3-319-28193-3Published: 03 February 2016
eBook ISBN: 978-3-319-28194-0Published: 07 January 2016
Series ISSN: 0302-9743
Series E-ISSN: 1611-3349
Edition Number: 1
Number of Pages: IX, 216
Number of Illustrations: 81 illustrations in colour
Topics: Image Processing and Computer Vision, Pattern Recognition, Computer Graphics, Artificial Intelligence, Simulation and Modeling, Algorithm Analysis and Problem Complexity