Pattern Classification of Medical Images: Computer Aided Diagnosis (e-bog) af Zhang, Yanchun
Zhang, Yanchun (forfatter)

Pattern Classification of Medical Images: Computer Aided Diagnosis e-bog

875,33 DKK (inkl. moms 1094,16 DKK)
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 scie...
E-bog 875,33 DKK
Forfattere Zhang, Yanchun (forfatter)
Forlag Springer
Udgivet 27 juni 2017
Genrer Biomedical engineering
Sprog English
Format pdf
Beskyttelse LCP
ISBN 9783319570273
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.