Finding salient regions in images: nonparametric clustering for image segmentation and grouping
Computer Vision and Image Understanding - Special issue on content-based access for image and video libraries
Strategies for image segmentation combining region and boundary information
Pattern Recognition Letters
A Two Layer Case-Based Reasoning Architecture for Medical Image Understanding
EWCBR '96 Proceedings of the Third European Workshop on Advances in Case-Based Reasoning
ICCBR '95 Proceedings of the First International Conference on Case-Based Reasoning Research and Development
Threshold selection by clustering gray levels of boundary
Pattern Recognition Letters
Medical applications in case-based reasoning
The Knowledge Engineering Review
Emergent case-based reasoning applications
The Knowledge Engineering Review
Image processing in case-based reasoning
The Knowledge Engineering Review
Finding Prototypes For Nearest Neighbor Classifiers
IEEE Transactions on Computers
Prototype-based classification
Applied Intelligence
Case-based object recognition for airborne fungi recognition
Artificial Intelligence in Medicine
Data mining on multimedia data
Data mining on multimedia data
Mining knowledge for HEp-2 cell image classification
Artificial Intelligence in Medicine
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In the rapidly expanding fields of cellular and molecular biology, fluorescence illumination and observation is becoming one of the techniques of choice to study the localization and dynamics of proteins, organelles, and other cellular compartments, as well as a tracer of intracellular protein trafficking. The automatic analysis of these 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, industrial and environmental analysis. With this arises the problem of the automatic mass analysis of signal information. Signal-interpreting systems which automatically generate the desired target statements from the signals are therefore of compelling necessity. The continuation of mass analysis on the basis of the classical procedures leads to investments of proportions that are not feasible. New procedures and system architectures are therefore required. We will present, based on our flexible image analysis and interpretation system Cell_Interpret, new intelligent and automatic image analysis and interpretation procedures. We will demonstrate it in the application of the HEp-2 cell pattern analysis.