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作者 Yin, Xiao-Xia, author
書名 Pattern classification of biomedical image time-series : computer aided diagnosis / by Xiao-Xia Yin, Sillas Hadjiloucas, Yanchun Zhang
出版項 Cham : Springer International Publishing : Imprint: Springer, 2017
國際標準書號 9783319570273 (electronic bk.)
9783319570266 (paper)
國際標準號碼 10.1007/978-3-319-57027-3 doi
book jacket
說明 1 online resource (xiv, 218 pages) : illustrations, digital ; 24 cm
text txt rdacontent
computer c rdamedia
online resource cr rdacarrier
text file PDF rda
系列 Health information science, 2366-0988
Health information science
附註 1 Introduction and Motivation for Conducting Medical Image Analysis -- 2 Overview of clinical applications using THz pulse imaging, MRI, OCT and fundus imaging -- 3 Recent Advances in Medical Data Preprocessing and Feature Extraction Techniques -- 4 Pattern Classification -- 5 Introduction to MRI Time Series Image Analysis Techniques -- 6 Outlook for Clifford Algebra Based Feature and Deep Learning AI Architectures -- 7 Concluding remarks
This book presents advances in biomedical imaging analysis and processing techniques using time dependent medical image datasets for computer aided diagnosis. The analysis of time-series images is one of the most widely appearing problems in science, engineering, and business. In recent years this problem has gained importance due to the increasing availability of more sensitive sensors in science and engineering and due to the wide-spread use of computers in corporations which have increased the amount of time-series data collected by many magnitudes. An important feature of this book is the exploration of different approaches to handle and identify time dependent biomedical images. Biomedical imaging analysis and processing techniques deal with the interaction between all forms of radiation and biological molecules, cells or tissues, to visualize small particles and opaque objects, and to achieve the recognition of biomedical patterns. These are topics of great importance to biomedical science, biology, and medicine. Biomedical imaging analysis techniques can be applied in many different areas to solve existing problems. The various requirements arising from the process of resolving practical problems motivate and expedite the development of biomedical imaging analysis. This is a major reason for the fast growth of the discipline
Host Item Springer eBooks
主題 Diagnostic imaging -- Digital techniques
Pattern recognition systems
Computer Science
Image Processing and Computer Vision
Signal, Image and Speech Processing
Health Informatics
Biomedical Engineering
Alt Author Hadjiloucas, Sillas, author
Zhang, Yanchun, author
SpringerLink (Online service)
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