Pattern Classification of Medical Images: Computer Aided Diagnosis

Nonfiction, Computers, Application Software, Computer Graphics, Science & Nature, Technology, Electronics, General Computing
Cover of the book Pattern Classification of Medical Images: Computer Aided Diagnosis by Xiao-Xia Yin, Sillas Hadjiloucas, Yanchun Zhang, Springer International Publishing
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Author: Xiao-Xia Yin, Sillas Hadjiloucas, Yanchun Zhang ISBN: 9783319570273
Publisher: Springer International Publishing Publication: June 27, 2017
Imprint: Springer Language: English
Author: Xiao-Xia Yin, Sillas Hadjiloucas, Yanchun Zhang
ISBN: 9783319570273
Publisher: Springer International Publishing
Publication: June 27, 2017
Imprint: Springer
Language: English

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.

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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.

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