Overview
- Includes supplementary material: sn.pub/extras
Part of the book series: Lecture Notes in Computer Science (LNCS, volume 9487)
Part of the book sub series: Image Processing, Computer Vision, Pattern Recognition, and Graphics (LNIP)
Included in the following conference series:
Conference proceedings info: MLMMI 2015.
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Table of contents (10 papers)
-
Computer Aided Diagnosis
Other volumes
-
Machine Learning Meets Medical Imaging
Keywords
- bioinformatics
- computational biology
- computer vision
- machine learning
- mathematical analysis
- Alzheimer's disease
- brain
- classification
- clinical classification
- computer-aided detection system
- gaussian processes
- graph kernel
- interpretability
- learning
- MRI
- multi-kernel
- multiple sclerosis
- structural connectome
- SVM
- transfer learning
About this book
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The 10 papers presented in this volume were carefully reviewed and selected for inclusion in the book. The papers communicate the specific needs and nuances of medical imaging to the machine learning community while exposing the medical imaging community to current trends in machine learning.
Editors and Affiliations
Bibliographic Information
Book Title: Machine Learning Meets Medical Imaging
Book Subtitle: First International Workshop, MLMMI 2015, Held in Conjunction with ICML 2015, Lille, France, July 11, 2015, Revised Selected Papers
Editors: Kanwal Bhatia, Herve Lombaert
Series Title: Lecture Notes in Computer Science
DOI: https://doi.org/10.1007/978-3-319-27929-9
Publisher: Springer Cham
eBook Packages: Computer Science, Computer Science (R0)
Copyright Information: Springer International Publishing Switzerland 2015
Softcover ISBN: 978-3-319-27928-2Published: 30 December 2015
eBook ISBN: 978-3-319-27929-9Published: 29 December 2015
Series ISSN: 0302-9743
Series E-ISSN: 1611-3349
Edition Number: 1
Number of Pages: X, 105
Number of Illustrations: 31 illustrations in colour
Topics: Image Processing and Computer Vision, Artificial Intelligence, Computational Biology/Bioinformatics, Pattern Recognition, Algorithm Analysis and Problem Complexity, Computation by Abstract Devices