Advances in Intelligent Analysis of Medical Data and Decision Support Systems
By: edited by Roumen Kountchev, Barna Iantovics
Contributors: Iantovics, Barna; SpringerLink (Online service)
Series: Studies in Computational Intelligence -- 473
Publisher: Springer International Publishing; Imprint: Springer
Published: 2013
Place of publication: Heidelberg
Language: eng
Format: [electronic resource] /
Number of pages: 247
ISBN-13: 9783319000299
Subjects: Engineering; Biomedical engineering; Computational intelligence; Artificial intelligence; Artificial Intelligence (incl. Robotics)
Description: This volume is a result of the fruitful and vivid discussions during the MedDecSup'2012 International Workshop bringing together a relevant body of knowledge, and new developments in the increasingly important field of medical informatics. This carefully edited book presents new ideas aimed at the development of intelligent processing of various kinds of medical information and the perfection of the contemporary computer systems for medical decision support. The book presents advances of the medical information systems for intelligent archiving, processing, analysis and search-by-content which will improve the quality of the medical services for every patient and of the global healthcare system. The book combines in a synergistic way theoretical developments with the practicability of the approaches developed and presents the last developments and achievements in  medical informatics to a broad range of readers: engineers, mathematicians, physicians, and PhD students.
Table of contents: title: From the Contents: Machine Learning Applications in Cancer Informatics; title: Methods for interpretation of data in medical informatics; title: Margarita Favorskaya. Visual System of Sign Alphabet Learning for Poorly-hearing Children; title: Decorrelation of sequences of medical CT images based on the Hierarchical Adaptive KLT; title: Compression with Adaptive Speckle Suppression for Ultrasound Medical Images; title: Adaptive Approach for Enhancement the Visual Quality of Low-contrast Medical Images.