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Computational Topology for Biomedical Image and Data Analysis: Theory and Applications

Computational Topology for Biomedical Image and Data Analysis: Theory and Applications
 

This book explores invariant pattern recognition methods for image and data analysis, in particularly focusing on algebraic topology for data analysis with specific emphasis on medical images. It meticulously works through the central concepts of topology, which are necessary to ... read full description below.

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ISBN 9781138336346
Barcode 9781138336346
Release Date 29 August 2019 by Taylor & Francis Ltd
Format Hardback
Author(s) By Moraleda, Rodrigo Rojas
By Valous, Nektarios A.
By Xiong, Wei
By Halama, Niels
Series Focus Series in Medical Physics and Biomedical Engineering
Availability Available for pre-order, ships once released

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Full details for this title

ISBN-13 9781138336346
ISBN-10 1138336343
Stock Release date is 29 August 2019
Status Available for pre-order, ships once released
Publisher Taylor & Francis Ltd
Imprint CRC Press
Release Date 29 August 2019
International Release Date 8 October 2019
Publication Country United Kingdom United Kingdom
Format Hardback
Author(s) By Moraleda, Rodrigo Rojas
By Valous, Nektarios A.
By Xiong, Wei
By Halama, Niels
Series Focus Series in Medical Physics and Biomedical Engineering
Category Epidemiology & Medical Statistics
Medical Imaging
Radiology
Biomedical Engineering
Medical Physics
Image Processing
Number of Pages 114
Dimensions Width: 140mm
Height: 216mm
Weight Not specified - defaults to 1,000g
Interest Age 16+ years
Reading Age 16+ years
ONIX Text College/higher education
Dewey Code Not specified
Catalogue Code Not specified

Description of this Book

This book explores invariant pattern recognition methods for image and data analysis, in particularly focusing on algebraic topology for data analysis with specific emphasis on medical images. It meticulously works through the central concepts of topology, which are necessary to provide a consistent articulation of the methodology. However, the topology is presented without significant focus on calculus or other mathematical branches, making the book accessible to a wide range of researchers in other fields. It will be of use to medical physicists, computer scientists, and engineers, as well as undergraduate and graduate students interested in the topic. Features: Fills a gap in the literature in this fast-moving field by providing a coherent text focused on practical techniques for topological data analysis Contains application examples in the field of biomedicine, including pathomics and the analysis of histopathological images Presents a practical guide to algebraic topology: sets, operators, groups, quotient groups, fields, vector fields, homology, simplicial homology (abstract and geometrical) as well as persistence homology

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Author's Bio

Rodrigo Rojas Moraleda obtained his PhD in computer science from Federico Santa Maria Technical University, Chile. He has research experience in the fields of computational biomedicine and applied mathematics. His current affiliation is with the German Cancer Research Center and the National Center for Tumor Diseases Heidelberg, Germany. Nektarios A. Valous obtained his PhD in biosystems engineering from University College Dublin, Ireland. He has research experience in the fields of computational biomedicine and interdisciplinary physics. His current affiliation is with the German Cancer Research Center and the National Center for Tumor Diseases Heidelberg, Germany. Wei Xiong obtained her PhD in mathematics from Heidelberg University, Germany. She has worked in the statistical physics and theoretical biophysics group (Institute for Theoretical Physics) and has research experience in the fields of computational mathematics and scientific computing. Her current affiliation is with the Institute for Theoretical Physics in Heidelberg University, Germany. Niels Halama is the head of the department of translational immunotherapy in the German Cancer Research Center, Germany. He has research experience in the fields of cancer immunology and computational biomedicine. His current affiliation is with the German Cancer Research Center and the National Center for Tumor Diseases Heidelberg, Germany.

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