Chest radiographs segmentation by the use of nature-inspired algorithm for lung disease detection

Rapid detection of potential threads can speed up medical examination and help to start the treatment without delays. Automatic analysis of x-ray screening is a complex, multi-step process that can be beneficial for more efficient examinations in pulmonary clinics. Traditional methods use image segmentation to cut out interesting areas for further analysis of deviations from the norm (i.e., unhealthy tissues detection). However the area is extracted as a whole part, but for sensitive and more patient oriented examinations we need approach that will be extending segmentation only with necessary elements. In this article we present research results on application of heuristic method for detection over aggregated x-ray image that comes from implemented segmentation.