Investigation of segmentation methods for highlighting areas of interests on lung X-rays

The article presents various segmentation approaches implemented using the Scikit-Learn library and the Python programming language. A comparative analysis of their effectiveness has been carried out to improve the accuracy of identifying areas of interest in the task of diagnosing lung diseases. The data set used for the study was obtained from the database of patients of the clinic “Road Clinical Hospital at Samara station of JSC Russian Railways”.