Selen Ayas, Murat Ekinci
View Full Paper
Tuberculosis, Ziehl-Neelsen staining procedure, Gaussianprobability density function, support vector machines.
The World Health Organization suggests visual
examination of stained sputum smear samples as a
preliminary and basic diagnostic technique of tuberculosis
disease. The visual examination requires laboratory
technicians to spend considerable time, so it increases
laboratorians’ workload. In addition, it leads to a
misdiagnosis because of requiring mental concentration.
This paper presents a novel method for segmentation of
tuberculosis bacteria in microscopic images taken from the
Ziehl-Neelsen stained samples. Color information of
bacterial regions which is taken from pixels and their
adjacent pixels is sampled in training process.
Multidimensional Gaussian probability density function
and support vector machines are used during microscopic
image segmentation comparatively. The performance of
the implemented system is evaluated using sensitivity,
specificity and accuracy criteria.