An Approach for Statistical Data Extraction from Photo Images of Pathological Biopsy Objects

Abstract

The task of statistical data extraction from photo images of biomedical objects is important in biomedical diagnostics. For example, the analysis of photographic images of aortic valve taken after surgical operation can be used for further medical research. In this case, it is important to define the percentile correlation between the pathological and the macroscopically unchanged tissue. In this work, authors implement different methods for extracting the statistical data from images. The experimental results show the efficiency of the selected methods.