Tuberculosis Detection from Conventional Sputum Smear Microscopic Images Using Machine Learning Techniques

This chapter presents a wide spectrum of machine learning techniques that are used for recognizing Tuberculosis (TB) bacilli from conventional sputum smear microscopic images. It discusses sputum smear microscopic images and the major works that a Sputum smear microscopic examination is a simple and low-cost method. This method is one of the most efficient and commonly used approaches for the diagnosis and management of pulmonary TB in many parts of the world. TB is a worldwide epidemic, but ironically it is prevalent in areas where the availability of well-equipped resources like laboratories and expert technicians is very low. TB is a worldwide epidemic, but ironically it is prevalent in areas where the availability of well-equipped resources like laboratories and expert technicians is very low. A combination of pixel classifiers is utilized by R. Khutlang et al. and for extracting bacilli objects from conventional sputum smear microscopic images.