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

Aleksandrs Sisojevs | Zendy; Katrina Bolochko | Zendy; Rihards Starinskis | Zendy

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

Author(s) -

Aleksandrs Sisojevs,

Katrina Bolochko,

Rihards Starinskis

Publication year - 2015

Publication title -

technologies of computer control

Language(s) - English

Resource type - Journals

eISSN - 2256-0343

pISSN - 2256-0351

DOI - 10.7250/tcc.2014.001

Subject(s) - computer science , artificial intelligence , percentile , data extraction , task (project management) , statistical analysis , computer vision , pattern recognition (psychology) , mathematics , statistics , medline , engineering , systems engineering , political science , law

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.

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