Аннотации:
Currently, the detection of pathology of lung cavities and their digitalization
is one of the urgent problems of the healthcare industry in Kazakhstan. In this
paper, the method of fractal analysis was considered to solve the task set.
Diagnosis of lung pathology based on fractal analysis is an actively
developing area of medical research. Conducted experiments on a set of
clinical data confirm the effectiveness of the proposed methodology. The
results obtained show that fractal analysis can be a useful tool for early
detection of lung pathologies. It allows you to detect even minor changes in
the structure and texture of lung tissues, which may not be obvious during
visual analysis. The article deals with images of pathology of the pulmonary
cavity, taken from an open data source. Based on the analysis of fractal
objects, they were pre-assembled. Software algorithms for the operation of the
information system for screening diagnostics have been developed. Based on
the information contained in the fractal image of the lungs, mathematical
models have been developed to create a diagnostic rule. A reference set of
information features has been created that allows you to create algorithms for
diagnosing the lungs: healthy and with pathologies of tuberculosis.
