Advances in Mass Data Analysis of Images and Signals in Medicine, Biotechnology, Chemistry and Food Industry

1. Front Matter

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2. New Models for Immune Mechanism Diagnosis

   1. New Models for Immune Mechanism Diagnosis

      • Calin Ciufudean, Otilia Ciufudean, Constantin Filote

      Pages 1-11

   2. User Assisted Substructure Extraction in Molecular Data Mining

      • Burcu Yılmaz, Mehmet Göktürk, Natalie Shvets

      Pages 12-26

   3. Fully Automatic Heart Beat Rate Determination in Digital Video Recordings of Rat Embryos

      • M. Khalid Khan, Mats F. Nilsson, Bengt R. Danielsson, Ewert Bengtsson

      Pages 27-37

   4. Biomedical Signal and Image Processing for Decision Support in Heart Failure

      • Franco Chiarugi, Sara Colantonio, Dimitra Emmanouilidou, Davide Moroni, Ovidio Salvetti

      Pages 38-51

   5. Automatic Data Acquisition and Signal Processing in the Field of Virology

      • Radu Dobrescu, Loretta Ichim

      Pages 52-61

   6. Colorectal Polyps Detection Using Texture Features and Support Vector Machine

      • Da-Chuan Cheng, Wen-Chien Ting, Yung-Fu Chen, Qin Pu, Xiaoyi Jiang

      Pages 62-72

   7. OplAnalyzer: A Toolbox for MALDI-TOF Mass Spectrometry Data Analysis

      • Thang V. Pham, Connie R. Jimenez

      Pages 73-81

   8. Classification of Mass Spectrometry Based Protein Markers by Kriging Error Matching

      • Tuan D. Pham, Honghui Wang, Xiaobo Zhou, Dominik Beck, Miriam Brandl, Gerard Hoehn et al.

      Pages 82-94

   9. A Mathematical Operator for Automatic and Real Time Analysis of Sequences of Vascular Images

      • Marcello Demi, Elisabetta Bianchini, Francesco Faita, Vincenzo Gemignani

      Pages 95-107

   10. A Unified Mathematical Treatment of Regression Problems in Image Processing

       • Karlheinz Spindler

       Pages 108-122

   11. Multi-scale Representation and Persistency for Shape Description

       • Davide Moroni, Mario Salvetti, Ovidio Salvetti

       Pages 123-138

   12. Novel Computerized Methods in System Biology –Flexible High-Content Image Analysis and Interpretation System for Cell Images

       • Petra Perner

       Pages 139-157

3. MDA 2006

   1. Automatic Segmentation of Unstained Living Cells in Bright-Field Microscope Images

      • M. Tscherepanow, F. Zöllner, M. Hillebrand, F. Kummert

      Pages 158-172

4. Back Matter

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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.

• DNA sequencing
• artificial neural networks
• bayesian estimation
• bioimaging
• biotechnology
• case-based reasoning
• cell image analysis
• cellular classification
• color image segmentation
• combinatorial chemistry
• curve fitting
• data analysis
• data mining
• feature extraction
• image analysis

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