Description: Pattern Classification of Medical Images: Computer Aided Diagnosis Please note: this item is printed on demand and will take extra time before it can be dispatched to you (up to 20 working days). Author(s): Xiao-Xia Yin, Sillas Hadjiloucas, Yanchun Zhang Format: Paperback Publisher: Springer International Publishing AG, Switzerland Imprint: Springer International Publishing AG ISBN-13: 9783319860619, 978-3319860619 Synopsis 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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Book Title: Pattern Classification of Medical Images: Computer Aided Diagn...
Number of Pages: 218 Pages
Language: English
Publication Name: Pattern Classification of Medical Images: Computer Aided Diagnosis
Publisher: Springer International Publishing A&G
Publication Year: 2018
Subject: Engineering & Technology, Computer Science
Item Height: 235 mm
Item Weight: 361 g
Type: Textbook
Author: Xiao-Xia Yin, Sillas Hadjiloucas, Yanchun Zhang
Subject Area: Health Education
Series: Health Information Science
Item Width: 155 mm
Format: Paperback