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024 7 _a10.1007/978-3-540-70715-8
_2doi
050 4 _aQH301-705
072 7 _aPSA
_2bicssc
072 7 _aSCI086000
_2bisacsh
072 7 _aPSA
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082 0 4 _a570
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245 1 0 _aAdvances in Mass Data Analysis of Images and Signals in Medicine, Biotechnology, Chemistry and Food Industry
_h[electronic resource] :
_bThird International Conference, MDA 2008, Leipzig, Germany, July 14, 2008, Proceedings /
_cedited by Petra Perner, Ovidio Salvetti.
250 _a1st ed. 2008.
264 1 _aBerlin, Heidelberg :
_bSpringer Berlin Heidelberg :
_bImprint: Springer,
_c2008.
300 _aX, 173 p.
_bonline resource.
336 _atext
_btxt
_2rdacontent
337 _acomputer
_bc
_2rdamedia
338 _aonline resource
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347 _atext file
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490 1 _aLecture Notes in Artificial Intelligence,
_x2945-9141 ;
_v5108
505 0 _aNew Models for Immune Mechanism Diagnosis -- New Models for Immune Mechanism Diagnosis -- User Assisted Substructure Extraction in Molecular Data Mining -- Fully Automatic Heart Beat Rate Determination in Digital Video Recordings of Rat Embryos -- Biomedical Signal and Image Processing for Decision Support in Heart Failure -- Automatic Data Acquisition and Signal Processing in the Field of Virology -- Colorectal Polyps Detection Using Texture Features and Support Vector Machine -- OplAnalyzer: A Toolbox for MALDI-TOF Mass Spectrometry Data Analysis -- Classification of Mass Spectrometry Based Protein Markers by Kriging Error Matching -- A Mathematical Operator for Automatic and Real Time Analysis of Sequences of Vascular Images -- A Unified Mathematical Treatment of Regression Problems in Image Processing -- Multi-scale Representation and Persistency for Shape Description -- Novel Computerized Methods in System Biology -Flexible High-Content Image Analysis and Interpretation System for Cell Images -- MDA 2006 -- Automatic Segmentation of Unstained Living Cells in Bright-Field Microscope Images.
520 _aThe automatic analysis of signals and images together with the characterization and elaboration of their representation features is still a challenging activity in many relevant scientific and hi-tech fields such as medicine, biotechnology, and chemistry. Multidimensional and multisource signal processing can generate a number of information patterns which can be useful to increase the knowledge of several domains for solving complex problems. Furthermore, advanced signal and image manipulation allows relating specific application problems into pattern recognition problems, often implying also the development of KDD and other computational intelligence procedures. Nevertheless, the amount of data produced by sensors and equipments used in biomedicine, biotechnology and chemistry is usually quite huge and structured, thus strongly pushing the need of investigating advanced models and efficient computational algorithms for automating mass analysis procedures. Accordingly, signal and image understanding approaches able to generate automatically expected outputs become more and more essential, including novel conceptual approaches and system architectures. The purpose of this third edition of the International Conference on Mass Data Analysis of Signals and Images in Medicine, Biotechnology, Chemistry and Food Industry (MDA 2008; www.mda-signals.de) was to present the broad and growing scientific evidence linking mass data analysis with challenging problems in medicine, biotechnology and chemistry. Scientific and engineering experts convened at the workshop to present the current understanding of image and signal processing and interpretation methods useful for facing various medical and biological problems and exploring the applicability and effectiveness of advanced techniques as solutions.
650 0 _aLife sciences.
_9172374
650 0 _aComputer graphics.
_94088
650 0 _aData mining.
_93907
650 0 _aImage processing
_xDigital techniques.
_94145
650 0 _aComputer vision.
_9172375
650 0 _aBioinformatics.
_99561
650 1 4 _aLife Sciences.
_9172376
650 2 4 _aComputer Graphics.
_94088
650 2 4 _aData Mining and Knowledge Discovery.
_9172377
650 2 4 _aComputer Imaging, Vision, Pattern Recognition and Graphics.
_931569
650 2 4 _aComputer Vision.
_9172378
650 2 4 _aComputational and Systems Biology.
_931619
700 1 _aPerner, Petra.
_eeditor.
_4edt
_4http://id.loc.gov/vocabulary/relators/edt
_9172379
700 1 _aSalvetti, Ovidio.
_eeditor.
_4edt
_4http://id.loc.gov/vocabulary/relators/edt
_9172380
710 2 _aSpringerLink (Online service)
_9172381
773 0 _tSpringer Nature eBook
776 0 8 _iPrinted edition:
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776 0 8 _iPrinted edition:
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830 0 _aLecture Notes in Artificial Intelligence,
_x2945-9141 ;
_v5108
_9172382
856 4 0 _uhttps://doi.org/10.1007/978-3-540-70715-8
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