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010   $a3-319-00029-2
024 7 $a10.1007/978-3-319-00029-9
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035   $a(DE-He213)978-3-319-00029-9
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100   $a20130217d2013      u|         0
101 0 $aeng
135   $aurnn#008mamaa
181   $ctxt
182   $cc
183   $acr
200 10$aAdvances in Intelligent Analysis of Medical Data and Decision Support Systems /$fedited by Roumen Kountchev, Barna Iantovics
205   $a1st ed. 2013.
210  1$aCham :$cSpringer International Publishing :$cImprint: Springer,$d2013.
215   $a1 online resource (VIII, 247 p.)
225 1 $aStudies in Computational Intelligence,$x1860-949X ;$v473
300   $aBibliographic Level Mode of Issuance: Monograph
311   $a3-319-00028-4 
320   $aIncludes bibliographical references and author index.
327   $aFrom 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.
330   $aThis volume is a result of the fruitful and vivid discussions during the MedDecSup'2012 International Workshop bringing together a relevant body of knowledge, and new developments in the increasingly important field of medical informatics. This carefully edited book presents new ideas aimed at the development of intelligent processing of various kinds of medical information and the perfection of the contemporary computer systems for medical decision support. The book presents advances of the medical information systems for intelligent archiving, processing, analysis and search-by-content which will improve the quality of the medical services for every patient and of the global healthcare system. The book combines in a synergistic way theoretical developments with the practicability of the approaches developed and presents the last developments and achievements in  medical informatics to a broad range of readers: engineers, mathematicians, physicians, and PhD students.
410  0$aStudies in Computational Intelligence,$x1860-949X ;$v473
606   $aComputational intelligence
606   $aArtificial intelligence
606   $aBiomedical engineering
606   $aComputational Intelligence$3https://scigraph.springernature.com/ontologies/product-market-codes/T11014
606   $aArtificial Intelligence$3https://scigraph.springernature.com/ontologies/product-market-codes/I21000
606   $aBiomedical Engineering and Bioengineering$3https://scigraph.springernature.com/ontologies/product-market-codes/T2700X
608   $aConference proceedings.$2fast
615  0$aComputational intelligence.
615  0$aArtificial intelligence.
615  0$aBiomedical engineering.
615 14$aComputational Intelligence.
615 24$aArtificial Intelligence.
615 24$aBiomedical Engineering and Bioengineering.
676   $a610.285
702   $aKountchev$b Roumen$4edt$4http://id.loc.gov/vocabulary/relators/edt
702   $aIantovics$b Barna$4edt$4http://id.loc.gov/vocabulary/relators/edt
906   $aBOOK
912   $a9910437899703321
996   $aAdvances in Intelligent Analysis of Medical Data and Decision Support Systems$92546735
997   $aUNINA