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Processing and Interpretation of Biological Microscopical Images

Processing and Interpretation of Biological Microscopical ImagesBy: Grigory Begelman

This research thesis addresses the problems of microscopic pathology analysis. It presents a general framework for computer-aided diagnostics. The aim of the framework is unification and improvement of the pathological examination routine. The framework combines telepathology with computer-aided diagnostics algorithms. The framework targets image acquisition and interpretation stages. The image acquisition subsystem solves problems related to microscopical slide digitization such as biomed-ical image registration, data representation, and processing. The interpretation sub-system uses a support vector machine classifier together with a feature selection for computer-aided diagnostics. The histopathological and cytopathological systems for computer-aided diagnostics are implemented using the presented framework. 

 

Thesis: [PDF]