Information technologies in biomedicine. Volume 3 /

Saved in:
Bibliographic Details
Imprint:Cham : Springer, 2014.
Description:1 online resource (x, 422 pages) : illustrations (some color).
Language:English
Series:Advances in Intelligent Systems and Computing, 2194-5357 ; volume 283
Advances in intelligent systems and computing ; v. 283.
Subject:
Format: E-Resource Book
URL for this record:http://pi.lib.uchicago.edu/1001/cat/bib/11084656
Hidden Bibliographic Details
Other authors / contributors:Piętka, Ewa, editor.
Kawa, Jacek, editor.
Wieclawek, Wojciech, editor.
ISBN:9783319065939
3319065939
3319065920
9783319065922
9783319065922
Notes:Includes bibliographical references and index at the end of each chapters.
Online resource; title from PDF title page (SpringerLink, viewed April 21, 2014).
Summary:New computerized approaches to various problems have become critically important in healthcare. Computer assisted diagnosis has been extended towards a support of the clinical treatment. Mathematical information analysis, computer applications have become standard tools underpinning the current rapid progress with developing Computational Intelligence. A computerized support in the analysis of patient information and implementation of a computer aided diagnosis and treatment systems, increases the objectivity of the analysis and speeds up the response to pathological changes. This book presents a variety of state-of-the-art information technology and its applications to the networked environment to allow robust computerized approaches to be introduced throughout the healthcare enterprise. Image analysis and its application is the traditional part that deals with the problem of data processing, recognition and classification. Bioinformatics has become a dynamically developed field of computer assisted biological data analysis.? This book is a great reference tool for scientists who deal with problems of designing and implementing processing tools employed in systems that assist the radiologists and biologists in patient data analysis.
Other form:Printed edition: 9783319065922
Standard no.:10.1007/978-3-319-06593-9