國立虎尾科技大學 |

Pattern classification of biomedical image time-series = computer aided diagnosis /

紀錄類型:	書目-語言資料,印刷品 : Monograph/item
正題名/作者:	Pattern classification of biomedical image time-series/ by Xiao-Xia Yin, Sillas Hadjiloucas, Yanchun Zhang.
其他題名:	computer aided diagnosis /
作者:	Yin, Xiao-Xia.
其他作者:	Hadjiloucas, Sillas.
出版者:	Cham :Springer International Publishing : : 2017.,
面頁冊數:	xiv, 218 p. :ill., digital ; : 24 cm.;
Contained By:	Springer eBooks
標題:	Diagnostic imaging - Digital techniques. -
電子資源:	http://dx.doi.org/10.1007/978-3-319-57027-3
ISBN:	9783319570273

Pattern classification of biomedical image time-series = computer aided diagnosis /
Yin, Xiao-Xia.

Pattern classification of biomedical image time-seriescomputer aided diagnosis /[electronic resource] :by Xiao-Xia Yin, Sillas Hadjiloucas, Yanchun Zhang. - Cham :Springer International Publishing :2017. - xiv, 218 p. :ill., digital ;24 cm. - Health information science,2366-0988. - Health information science..

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.

ISBN: 9783319570273

Standard No.: 10.1007/978-3-319-57027-3doiSubjects--Topical Terms:

559141
Diagnostic imaging
--Digital techniques.

LC Class. No.: RC78.7.D53

Dewey Class. No.: 616.0754

Pattern classification of biomedical image time-series = computer aided diagnosis /
LDR:02908nam a2200349 a 4500 001 905580
003 DE-He213
005 20170629082517.0
006 m d
007 cr nn 008maaau
008 190308s2017 gw s 0 eng d
020 $a 9783319570273 $q (electronic bk.)
020 $a 9783319570266 $q (paper)
024 7 $a 10.1007/978-3-319-57027-3 $2 doi
035 $a 978-3-319-57027-3
040 $a GP $c GP
041 0 $a eng
050 4 $a RC78.7.D53
072 7 $a UYT $2 bicssc
072 7 $a UYQV $2 bicssc
072 7 $a COM012000 $2 bisacsh
072 7 $a COM016000 $2 bisacsh
082 0 4 $a 616.0754 $2 23
090 $a RC78.7.D53 $b Y51 2017
100 1 $a Yin, Xiao-Xia. $3 1172816
245 1 0 $a Pattern classification of biomedical image time-series $h [electronic resource] : $b computer aided diagnosis / $c by Xiao-Xia Yin, Sillas Hadjiloucas, Yanchun Zhang.
260 $a Cham : $c 2017. $b Springer International Publishing : $b Imprint: Springer,
300 $a xiv, 218 p. : $b ill., digital ; $c 24 cm.
490 1 $a Health information science, $x 2366-0988
505 0 $a 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.
520 $a 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.
650 0 $a Diagnostic imaging $x Digital techniques. $3 559141
650 0 $a Pattern recognition systems. $3 557384
650 1 4 $a Computer Science. $3 593922
650 2 4 $a Image Processing and Computer Vision. $3 670819
650 2 4 $a Signal, Image and Speech Processing. $3 670837
650 2 4 $a Health Informatics. $3 593963
650 2 4 $a Biomedical Engineering. $3 588771
700 1 $a Hadjiloucas, Sillas. $3 1172817
700 1 $a Zhang, Yanchun. $3 679890
710 2 $a SpringerLink (Online service) $3 593884
773 0 $t Springer eBooks
830 0 $a Health information science. $3 1067741
856 4 0 $u http://dx.doi.org/10.1007/978-3-319-57027-3
950 $a Computer Science (Springer-11645)