rdf-syntax-grammar
mods:
  schema location: http://www.loc.gov/mods/v3 http://www.loc.gov/standards/mods/v3/mods-3-2.xsd
  title info:
    title: Advances in Mass Data Analysis of Images and Signals in Medicine, Biotechnology, Chemistry and Food Industry
    sub title: Third International Conference, MDA 2008 Leipzig, Germany, July 14, 2008 Proceedings
  name:
    name part: Perner, Petra.
    role:
      role term: editor.
  name:
    name part: Salvetti, Ovidio.
    role:
      role term: editor.
  name:
    name part: SpringerLink (Online service)
  type of resource: text
  origin info:
    place:
      place term: gw
    date issued: 2008
    issuance: monographic
  language:
    language term: eng
  physical description:
    form: electronic
    form: electronic resource
    reformatting quality: access
    form: remote
    extent: X, 173 p. online resource.
  abstract: The 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.
  table of contents: New 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.
  note: edited by Petra Perner, Ovidio Salvetti.
  subject:
    topic: Life sciences
  subject:
    topic: Data mining
  subject:
    topic: Computer graphics
  subject:
    topic: Image processing
  subject:
    topic: Bioinformatics
  subject:
    topic: Life Sciences
  subject:
    topic: Life Sciences, general
  subject:
    topic: Computer Graphics
  subject:
    topic: Data Mining and Knowledge Discovery
  subject:
    topic: Computer Imaging, Vision, Pattern Recognition and Graphics
  subject:
    topic: Image Processing and Computer Vision
  subject:
    topic: Computational Biology/Bioinformatics
  classification: QH301-705
  classification: 570
  related item:
    title info:
      title: Springer eBooks
  related item:
    title info:
      title: Lecture Notes in Computer Science, 5108
  identifier: 9783540707158
  identifier: http://dx.doi.org/10.1007/978-3-540-70715-8
  record info:
    record creation date: 100301
    record change date: 20151204162637.0
    record identifier: 978-3-540-70715-8