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Advances in Intelligent Analysis of Medical Data and Decision Support Systems [electronic resource] / edited by Roumen Kountchev, Barna Iantovics.

Contributor(s): Kountchev, Roumen [editor.] | Iantovics, Barna [editor.] | SpringerLink (Online service).
Material type: materialTypeLabelBookSeries: Studies in Computational Intelligence: 473Publisher: Heidelberg : Springer International Publishing : Imprint: Springer, 2013Description: VIII, 247 p. online resource.Content type: text Media type: computer Carrier type: online resourceISBN: 9783319000299.Subject(s): Engineering | Artificial intelligence | Computational intelligence | Biomedical engineering | Engineering | Computational Intelligence | Artificial Intelligence (incl. Robotics) | Biomedical EngineeringAdditional physical formats: Printed edition:: No titleDDC classification: 006.3 Online resources: Click here to access online
Contents:
From the Contents: Machine Learning Applications in Cancer Informatics -- Methods for interpretation of data in medical informatics -- Margarita Favorskaya. Visual System of Sign Alphabet Learning for Poorly-hearing Children -- Decorrelation of sequences of medical CT images based on the Hierarchical Adaptive KLT -- Compression with Adaptive Speckle Suppression for Ultrasound Medical Images -- Adaptive Approach for Enhancement the Visual Quality of Low-contrast Medical Images.
In: Springer eBooksSummary: 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.
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From the Contents: Machine Learning Applications in Cancer Informatics -- Methods for interpretation of data in medical informatics -- Margarita Favorskaya. Visual System of Sign Alphabet Learning for Poorly-hearing Children -- Decorrelation of sequences of medical CT images based on the Hierarchical Adaptive KLT -- Compression with Adaptive Speckle Suppression for Ultrasound Medical Images -- Adaptive Approach for Enhancement the Visual Quality of Low-contrast Medical Images.

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.

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