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Summary This chapter introduces a novel image-segmentation scheme based on case-based reasoning. Image segmentation is aimed at dividing an image into a number of different regions in such a way that each region is homogeneous with respect to a given property, but the union of any two adjacent regions is not. To reach this goal, a number of different approaches have been suggested in the literature,...
Human beings are exposed every day to bioaerosols in the various fields of their personal and/or professional daily life. The European Commission has rules protecting employees in the workplace from biological hazards. Airborne fungi can be detected and identified by an image acquisition and interpretation system. In this paper we present recent results on the development of an image interpretation...
Summary Case-based reasoning (CBR) is used when generalized knowledge is lacking. The method works on a set of cases formerly processed and stored in the case base. A new case is interpreted based on its similarity to cases in the case base. The closest case with its associated result is selected and presented as output of the system. Signal-interpreting systems for 1-d, 2-d, or 3-dimensional signals...
Live-Cell Assays are used to study the dynamic functional cellular processes in high-content screening of drug discovery processes. One class of tasks in this application is the tracking of cells and the description of the events and the changes in the cell characteristics. The large amount of data requires fast processing algorithms and compact object and event descriptions. We propose in this paper...
Many medical diagnosis applications are characterized by datasets that contain under- represented classes due to the fact that the disease appears more rarely than the normal case. In such a situation classifiers that generalize over the data such as decision trees and Naive Bayesian are not the proper choice as classification methods. Case-based classifiers that can work on the samples seen so far...
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