Conference Information
MDA 2021: International Conference on Mass Data Analysis of Images and Signals
http://www.mda-signals.de/
Submission Date:
2021-02-15
Notification Date:
2021-05-18
Conference Date:
2021-07-11
Location:
New York City, New York, USA
Years:
16
Viewed: 13449   Tracked: 8   Attend: 0

Call For Papers
The Scope of the Conference

The automatic analysis of images and signals in medicine, biotechnology, System Biology, chemistry, biometry, drug discovery and information robots is a challenging and demanding field. Signal-producing procedures by microscopes, spectrometers and other sensors have found their way into wide fields of medicine, biotechnology, economy and environmental analysis. With this arises the problem of the automatic mass analysis of signal information. Signal-interpreting systems which generate automatically the desired target statements from the signals are therefore of compelling necessity. The continuation of mass analyses on the basis of the classical procedures leads to investments of proportions that are not feasible. New procedures and system architectures are therefore required. The scope of conference is to bring together researcher, praticioners and industry people who are dealing with mass analysis of images and signals to present and discuss recent research in these fields.

The goals of this conference are to:

    provide a forum for identifying important contributions and opportunities for research on mass data analysis of signals and images,
    promote the systematic study of how to apply automatic signal/image analysis and interpretation procedures to that field
    show case applications of mass data analysis in biology, medicine, and chemistry.
 
Topics of interest include (but are not limited to):

    Applications in Medicine, r/g/b Biotechnology, Food Industries and Dietetics, Biometry and Agriculture
    Techniques and developments of signal and image producing procedures
    Object matching and object tracking in microscopic and video microscopic images
    1D, 2D and 3D shape analysis and description
    1D, 2D and 3D feature extraction of texture, structure and location
    Algorithms for 1D, 2D and 3D signal analysis and interpretation
    Image segmentation algorithms
    Parallelization of image analysis and interpretation algorithms
    Semantic tagging of microscopic images
    Applications in medicine, biotechnology, chemistry and others
    Applications in crystallography
    Applications in proteomics
    Applications in 2D and 3D cell images analysis
    Image Acquisition procedures for mass data analysis
    Methods and solutions for biometrical systems (Face-, Iris and Fingerprint Recognition)
    Recognition methods for moving objects (face, iris, body)
    Methods for data encryption (e.g. crypotographic methods, watermarking)
Last updated by Dou Sun in 2020-09-07
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