000 05825nam a22006495i 4500
001 978-3-540-76300-0
003 DE-He213
005 20240730172636.0
007 cr nn 008mamaa
008 100301s2007 gw | s |||| 0|eng d
020 _a9783540763000
_9978-3-540-76300-0
024 7 _a10.1007/978-3-540-76300-0
_2doi
050 4 _aQ334-342
050 4 _aTA347.A78
072 7 _aUYQ
_2bicssc
072 7 _aCOM004000
_2bisacsh
072 7 _aUYQ
_2thema
082 0 4 _a006.3
_223
245 1 0 _aAdvances in Mass Data Analysis of Signals and Images in Medicine, Biotechnology and Chemistry
_h[electronic resource] :
_bInternational Conference, MDA 2006/2007, Leipzig, Germany, July 18, 2007, Selected Papers /
_cedited by Petra Perner, Ovidio Salvetti.
250 _a1st ed. 2007.
264 1 _aBerlin, Heidelberg :
_bSpringer Berlin Heidelberg :
_bImprint: Springer,
_c2007.
300 _aX, 183 p.
_bonline resource.
336 _atext
_btxt
_2rdacontent
337 _acomputer
_bc
_2rdamedia
338 _aonline resource
_bcr
_2rdacarrier
347 _atext file
_bPDF
_2rda
490 1 _aLecture Notes in Artificial Intelligence,
_x2945-9141 ;
_v4826
505 0 _aImage Acquisition and Analysis of Hazardous Biological Material in Air -- Geo-Thresholding for Segmentation of Fluorescent Microscopic Cell Images -- Image Segmentation by Non-topological Erosion and Topological Expansion -- Variability Analysis of the Large-Scale Structure of Interphase Chromatin Fiber Based on Statistical Shape Theory -- Image Segmentation Using Histogram Fitting and Spatial Information -- Statistical Analysis of Microspectroscopy Signals for Algae Classification and Phylogenetic Comparison -- Semi-automatic Semantic Tagging of 3D Images from Pancreas Cells -- Combinatorial Synthesis of Thin Mixed Oxide-Films and Examinations of Their Piezoelectricity by Ultrasonic Piezo-Mode Imaging -- A Novel Image Feature for Nuclear-Phase Classification in High Content Screening -- Object Detection in Watershed Partitioned Gray-Level Images -- Finding Cells, Finding Molecules, Finding Patterns -- Automatic Fuzzy-neural Based Segmentation of Microscopic Cell Images -- Real-Time Measurement and Analysis of Translational and Rotational Speeds of Moving Objects in Microscope Fields -- A General Approach to Shape Characterization for Biomedical Problems -- Statistical Analysis of Electrophoresis Time Series for Improving Basecalling in DNA Sequencing -- Semi-automated Mapping of Cell Nuclei in 3D-Stacks from Optical-Sectioning Microscopy -- Statistical Analysis of Myocyte Orientations of the Left Ventricular Myocardium -- Automatic Quality Control of Cereals in Particular Wheat-Subtask Detection of Hygiene-Relevant Parameters.
520 _aThe automatic analysis of images and signals in medicine, biotechnology, and chemistry 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 classical procedures leads to investments of proportions that are not feasible. New procedures and system architectures are therefore required. The scope of the International Conference on Mass Data Analysis of Images and Signals in Medicine, Biotechnology and Chemistry MDA (www.mda-signals.de) is to bring together researchers, practitioners, 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 workshop are to: Provide a forum for identifying important contributions and opportunities for research on mass data analysis on microscopic images Promote the systematic study of how to apply automatic 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): 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.
650 0 _aArtificial intelligence.
_93407
650 0 _aData structures (Computer science).
_98188
650 0 _aInformation theory.
_914256
650 0 _aImage processing
_xDigital techniques.
_94145
650 0 _aComputer vision.
_9104791
650 0 _aBioinformatics.
_99561
650 0 _aData mining.
_93907
650 1 4 _aArtificial Intelligence.
_93407
650 2 4 _aData Structures and Information Theory.
_931923
650 2 4 _aComputer Imaging, Vision, Pattern Recognition and Graphics.
_931569
650 2 4 _aComputer Vision.
_9104794
650 2 4 _aComputational and Systems Biology.
_931619
650 2 4 _aData Mining and Knowledge Discovery.
_9104796
700 1 _aPerner, Petra.
_eeditor.
_4edt
_4http://id.loc.gov/vocabulary/relators/edt
_9104797
700 1 _aSalvetti, Ovidio.
_eeditor.
_4edt
_4http://id.loc.gov/vocabulary/relators/edt
_9104798
710 2 _aSpringerLink (Online service)
_9104800
773 0 _tSpringer Nature eBook
776 0 8 _iPrinted edition:
_z9783540762997
776 0 8 _iPrinted edition:
_z9783540845515
830 0 _aLecture Notes in Artificial Intelligence,
_x2945-9141 ;
_v4826
_9104802
856 4 0 _uhttps://doi.org/10.1007/978-3-540-76300-0
912 _aZDB-2-SCS
912 _aZDB-2-SXCS
912 _aZDB-2-LNC
942 _cELN
999 _c88452
_d88452